CN113724229B - Method and device for determining elevation difference and electronic equipment - Google Patents

Method and device for determining elevation difference and electronic equipment Download PDF

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Publication number
CN113724229B
CN113724229B CN202111015707.6A CN202111015707A CN113724229B CN 113724229 B CN113724229 B CN 113724229B CN 202111015707 A CN202111015707 A CN 202111015707A CN 113724229 B CN113724229 B CN 113724229B
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region
type
detected
map
remote sensing
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CN113724229A (en
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田启明
徐彬仁
徐炜达
尹捷
李梦南
崔军丽
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Beijing Yingshi Ruida Technology Co ltd
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Beijing Yingshi Ruida Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30—Assessment of water resources

Abstract

According to the method, the device and the electronic equipment for determining the elevation difference, through the technical scheme provided by the embodiment of the application, the electronic equipment can acquire the first region type diagram and the second region type diagram of the region to be detected, and the first region type diagram and the second region type diagram can reflect the change condition of the region type of the region to be detected at the first moment and the second moment. The electronic equipment acquires a first digital elevation model and a second digital elevation model, the first digital elevation model and the second digital elevation model can reflect the elevation change condition of the region to be detected at the first moment and the second moment, and the target elevation difference of the first type subarea at the first moment and the second moment can be accurately determined based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, so that the accuracy of the target elevation difference is higher.

Description

Method and device for determining elevation difference and electronic equipment
Technical Field
The application relates to the field of water environment monitoring, in particular to a method and a device for determining elevation difference and electronic equipment.
Background
At present, the fresh water resources in the world only account for 2.5 percent of the total water quantity, wherein more than 70 percent of the fresh water resources are frozen in ice covers of south poles and north poles, and 86 percent of the fresh water resources are difficult to use due to the fact that alpine glaciers and permafrost snow which are difficult to use are added. Fresh water resources which can be really utilized by human beings are part of rivers, lakes and underground water, and only account for 0.26% of the total water quantity of the earth. Experts estimated that the world's water-deficient population would be over 25 billion by 2025.
Therefore, monitoring the change in water resources is an important task that is not necessary. The method is an important means for monitoring the elevation change of the river and the lake, and can quickly know the water level change condition of the river and the lake in the area.
Disclosure of Invention
In view of this, the embodiments of the present application provide a method and apparatus for determining an elevation difference, and an electronic device, which can quickly determine the elevation change condition of a river or lake.
In one aspect, an embodiment of the present application provides a method for determining an elevation difference, where the method includes:
acquiring an area type diagram of an area to be detected, wherein the area type diagram is used for indicating the area types of different positions in the area to be detected; the region type map comprises a first region type map and a second region type map, wherein the first region type map is a region type map of the region to be detected at a first moment, and the second region type map is a region type map of the region to be detected at a second moment;
Acquiring a digital elevation model of the region to be detected, wherein the digital elevation model is used for indicating elevation values of different positions in the region to be detected; the digital elevation model comprises a first digital elevation model and a second digital elevation model; the first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the second digital elevation model is a digital elevation model of the region to be detected at the second moment;
and determining a target elevation difference based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, wherein the target elevation difference is an elevation change value from the first moment to the second moment.
In one aspect, a device for determining an elevation difference is provided, including:
the device comprises an area type diagram acquisition module, a detection module and a detection module, wherein the area type diagram is used for acquiring an area type diagram of an area to be detected, and the area type diagram is used for indicating the area types of different positions in the area to be detected; the region type map comprises a first region type map and a second region type map, wherein the first region type map is a region type map of the region to be detected at a first moment, and the second region type map is a region type map of the region to be detected at a second moment;
The digital elevation model acquisition module is used for acquiring a digital elevation model of the region to be detected, and the digital elevation model is used for indicating elevation values of different positions in the region to be detected; the digital elevation model comprises a first digital elevation model and a second digital elevation model; the first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the second digital elevation model is a digital elevation model of the region to be detected at the second moment;
and the elevation difference determining module is used for determining a target elevation difference based on the first area type diagram, the second area type diagram, the first digital elevation model and the second digital elevation model, wherein the target elevation difference is an elevation change value from the first moment to the second moment.
In a possible implementation manner, the region type map obtaining module is configured to obtain remote sensing data of the region to be detected, where the remote sensing data is used to indicate reflectivity of rays of different wavebands in the region to be detected; the remote sensing data comprise first remote sensing data and second remote sensing data, the first remote sensing data are remote sensing data of the area to be detected at the first moment, and the second remote sensing data are remote sensing data of the area to be detected at the second moment; generating the first region type map based on the first remote sensing data; and generating the second region type map based on the second remote sensing data.
In a possible implementation manner, the first remote sensing data includes a first near infrared ray reflectivity and a first green wave reflectivity, and the region type map acquisition module is configured to determine a type of a sub-region in the region to be detected based on the first near infrared ray reflectivity and the first green wave reflectivity; and generating the first region type diagram based on the types of the sub-regions in the region to be detected.
In a possible implementation manner, the region type map obtaining module is configured to subtract, for a sub-region in the region to be detected, a first green wave reflectivity and a first near infrared ray reflectivity of the sub-region to obtain a first parameter; adding the first green wave reflectivity of the subarea and the first near infrared ray reflectivity to obtain a second parameter; dividing the first parameter and the second parameter to obtain a third parameter; and determining the type of the subarea in the area to be detected based on the relation between the third parameter and a preset parameter threshold value.
In a possible implementation manner, the region type map obtaining module is configured to determine, in response to the third parameter being greater than or equal to the preset parameter threshold, a corresponding region type as a first type region; and determining the corresponding sub-region type as a second type sub-region in response to the third parameter being smaller than the preset parameter threshold.
In a possible implementation manner, the region type map acquisition module is configured to perform preprocessing on the first remote sensing data, where the preprocessing includes at least one of radiation calibration, orthographic correction, geometric correction, and projective transformation; and generating the first region type map based on the preprocessed first remote sensing data.
In a possible implementation manner, the second remote sensing data includes a second near infrared ray reflectivity and a second green wave reflectivity, and the region type map acquisition module is configured to determine a type of a sub-region in the region to be detected based on the second near infrared ray reflectivity and the second green wave reflectivity; and generating the second region type map based on the types of the sub-regions in the region to be detected.
In a possible implementation manner, the digital elevation model acquiring module is configured to acquire first elevation values of a plurality of location points in the area to be detected at the first moment; acquiring a first digital elevation model of the region to be detected based on first elevation values of the plurality of position points; acquiring second elevation values of a plurality of position points in the region to be detected at the second moment; and acquiring a second digital elevation model of the region to be detected based on the second elevation values of the plurality of position points.
In a possible implementation manner, the digital elevation model obtaining module is configured to generate a first initial digital elevation model of the area to be detected at the first moment based on first elevation values of the plurality of location points; and interpolating the first initial digital elevation model to obtain the first digital elevation model.
In a possible manner, the elevation difference determining module is configured to determine, in the first region type map, a first elevation value of a first type of sub-region in the region to be detected based on the first digital elevation model; determining a second elevation value of the first type subarea in the area to be detected in the second area type graph based on the second digital elevation model; a difference between the first elevation value and the second elevation value is determined as the target elevation difference.
In one possible manner, the elevation difference determining module is configured to perform any one of the following:
determining a first edge coordinate of the first type subarea in the first area type graph; acquiring the first elevation value corresponding to the first edge coordinate from the first digital elevation model;
Determining a plurality of first edge coordinates of the first type sub-region in the first region type map; acquiring a plurality of first candidate elevation values corresponding to the plurality of first edge coordinates from the first digital elevation model; an average of the plurality of first candidate elevation values is determined as the first elevation value.
In one aspect, an electronic device is provided, the electronic device comprising:
at least one processor and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining an elevation difference.
In one aspect, a non-transitory computer readable storage medium stores computer instructions for causing the computer to perform the aforementioned method of determining elevation differences.
In one aspect, embodiments of the present application also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the aforementioned method of determining an elevation difference.
According to the method, the device and the electronic equipment for determining the elevation difference, through the technical scheme provided by the embodiment of the application, the electronic equipment can acquire the first region type diagram and the second region type diagram of the region to be detected, and the first region type diagram and the second region type diagram can reflect the change condition of the region type of the region to be detected at the first moment and the second moment. The electronic equipment acquires a first digital elevation model and a second digital elevation model, the first digital elevation model and the second digital elevation model can reflect the elevation change condition of the region to be detected at the first moment and the second moment, and the target elevation difference of the first type subarea at the first moment and the second moment can be accurately determined based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, so that the accuracy of the target elevation difference is higher.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly explain the drawings needed in the embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of an implementation environment of a method for determining an elevation difference according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for determining elevation differences according to an embodiment of the present application;
FIG. 3 is a flow chart of a method for determining elevation differences according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a region to be detected according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a height difference determining device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below with reference to the accompanying drawings.
Other advantages and effects of the present application will become apparent to those skilled in the art from the present disclosure, when the following description of the embodiments is taken in conjunction with the accompanying drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. The present application may be embodied or carried out in other specific embodiments, and the details of the present application may be modified or changed from various points of view and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present application, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein.
It should also be noted that the illustrations provided in the following embodiments merely illustrate the basic concepts of the application by way of illustration, and only the components related to the application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided in order to provide a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects may be practiced without these specific details.
In order to more clearly describe the technical solutions provided in the embodiments of the present application, some terms related to the embodiments of the present application are described below.
Elevation: elevation refers to the distance from a point to an absolute base surface along the plumb line direction, and is called absolute elevation for short.
Digital elevation model (Digital Elevation Model, DEM): the method realizes the digital simulation of the ground topography (namely the digital expression of the topography surface morphology) through the limited topography elevation data, and is a solid ground model which uses a group of ordered value array to represent the ground elevation.
Fig. 1 is a schematic diagram of an implementation environment of a method for determining an elevation difference according to an embodiment of the present application, and referring to fig. 1, the implementation environment includes an electronic device 110 and a server 140.
The electronic device 110 is connected to the server 140 via a wireless network or a wired network. Alternatively, the electronic device 110 is a smart phone, tablet, notebook, desktop, smart watch, or the like, but is not limited thereto. The electronic device 110 installs and runs an application that supports elevation difference determination.
Optionally, the server is an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, a distribution network (Content Delivery Network, CDN), basic cloud computing services such as big data and an artificial intelligence platform.
Optionally, the electronic device 110 refers broadly to one of a plurality of electronic devices, and the embodiments of the present application are illustrated only with the electronic device 110.
Those skilled in the art will appreciate that the number of electronic devices described above may be greater or lesser. For example, the electronic device is only one, or the electronic device is tens or hundreds, or more, and other electronic devices are also included in the implementation environment. The number and type of electronic devices are not limited in the embodiments of the present application.
After the implementation environment of the embodiment of the present application is introduced, the application scenario of the embodiment of the present application is described below, and in the following description, the terminal is the terminal 110 in the implementation environment, and the server is the server 140 in the implementation environment.
The embodiment of the application can be applied to a scene of determining the elevation difference change of each river or lake, wherein the elevation difference change is also called depth change or water level change, and the like. The terminal can obtain a first region type diagram and a second region type diagram of the region to be detected from the server, wherein the first region type diagram is a region type diagram of the region to be detected at a first moment, and the second region type diagram is a region type diagram of the region to be detected at a second moment, the first moment and the second moment are different moments, and the first moment and the second moment can be separated by a few days, a few weeks or a few years, and can be separated by a few weeks or a few years. The terminal acquires a first digital elevation model and a second digital elevation model of the to-be-detected area, wherein the first digital elevation model is a digital elevation model of the to-be-detected area at a first moment, the second digital elevation model is a digital elevation model of the to-be-detected area at a second moment, the digital elevation model can reflect elevation values of different positions in the to-be-detected area, for example, the first digital elevation model can reflect elevation differences of the to-be-detected area at the first moment. The terminal can determine the target elevation difference based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, and the target elevation difference can reflect the elevation change of the river or lake region in the region to be detected.
The method and the device can be applied to determining the desert elevation difference change scene of each desert, and the first type of subareas are the areas where the desert in the area to be detected is located. The terminal can obtain a first region type diagram and a second region type diagram of the region to be detected from the server, wherein the first region type diagram is a region type diagram of the region to be detected at a first moment, and the second region type diagram is a region type diagram of the region to be detected at a second moment, the first moment and the second moment are different moments, and the first moment and the second moment can be separated by a few days, a few weeks or a few years, and can be separated by a few weeks or a few years. The terminal acquires a first digital elevation model and a second digital elevation model of the to-be-detected area, wherein the first digital elevation model is a digital elevation model of the to-be-detected area at a first moment, the second digital elevation model is a digital elevation model of the to-be-detected area at a second moment, the digital elevation model can reflect elevation values of different positions in the to-be-detected area, for example, the first digital elevation model can reflect elevation differences of the to-be-detected area at the first moment. The terminal can determine the target elevation difference based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, and the target elevation difference can reflect the elevation change of the desert region in the region to be detected.
Of course, the embodiment of the present application can also be applied in a scenario of determining the elevation difference of other types of areas, which is not limited thereto.
Next, a method for determining an elevation difference provided in an embodiment of the present application will be described with reference to fig. 2, where the method for determining an elevation difference provided in an embodiment of the present application includes:
201. the method comprises the steps that electronic equipment obtains an area type diagram of an area to be detected, wherein the area type diagram is used for indicating area types of different positions in the area to be detected; the region type map comprises a first region type map and a second region type map, wherein the first region type map is a region type map of the region to be detected at a first moment, and the second region type map is a region type map of the region to be detected at a second moment.
The area to be detected is an area to be determined, and the first type of sub-area is an area where a lake or a river is located or an area where a desert is located. The first time and the second time are different, and may be separated by several days, several weeks, or several weeks or several years, which is not limited in the embodiment of the present application.
202. The electronic equipment acquires a digital elevation model of the area to be detected, wherein the digital elevation model is used for indicating elevation values of different positions in the area to be detected; the digital elevation model includes a first digital elevation model and a second digital elevation model; the first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the second digital elevation model is a digital elevation model of the region to be detected at the second moment.
203. The electronic device determines a target elevation difference based on the first region type map, the second region type map, the first digital elevation model and the second digital elevation model, wherein the target elevation difference is an elevation change value from the first moment to the second moment.
Through the technical scheme provided by the embodiment of the application, the electronic equipment can acquire the first region type diagram and the second region type diagram of the region to be detected, and the first region type diagram and the second region type diagram can reflect the change condition of the region type of the region to be detected at the first moment and the second moment. The electronic equipment acquires a first digital elevation model and a second digital elevation model, the first digital elevation model and the second digital elevation model can reflect the elevation change condition of the region to be detected at the first moment and the second moment, and the target elevation difference of the first type subarea at the first moment and the second moment can be accurately determined based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, so that the accuracy of the target elevation difference is higher.
It should be noted that, the foregoing steps 201 to 203 are a simple description of the embodiments of the present application, and the following will describe in detail, with reference to some examples, the technical solution provided in the embodiments of the present application, and take the electronic device implemented as a terminal as an example, referring to fig. 3, the method includes:
301. the terminal acquires remote sensing data of an area to be detected, wherein the remote sensing data is used for indicating the reflectivities of rays of different wave bands in the area to be detected; the remote sensing data comprise first remote sensing data and second remote sensing data, wherein the first remote sensing data are remote sensing data of the region to be detected at the first moment, and the second remote sensing data are remote sensing data of the region to be detected at the second moment.
In some embodiments, the area to be detected, i.e. the area containing the lake or river, is represented by a first type of sub-area, i.e. the water area, and by a second type of sub-area, i.e. the land area or the vegetation area, i.e. the area other than the water area. Because the material types of the first type subarea and the second type subarea have obvious differences, for the same ray, the reflectivity of the first type subarea for the ray is different from the reflectivity of the second type subarea for the ray, and the first type subarea and the second type subarea can be distinguished to a certain extent through the differences. In some embodiments, referring to fig. 4, 401 is a region to be detected, 402 is a first type of sub-region in the region to be detected 401, and 403 is a second type of sub-region in the region to be detected 401. In some embodiments, the telemetry data is also referred to as TM (Thematic map) data. The first time and the second time are different, and may be separated by several days, several weeks, or several weeks or several years, which is not limited in the embodiment of the present application.
In one possible implementation manner, the terminal sends a remote sensing data acquisition request to the server, wherein the remote sensing data acquisition request carries an identifier of a region to be detected, a first time and a second time. After receiving the remote sensing data acquisition request, the server acquires the identification, the first time and the second time of the to-be-detected area from the remote sensing data acquisition request, queries the remote sensing database based on the identification, the first time and the second time of the to-be-detected area, acquires the first remote sensing data corresponding to the identification and the first time of the to-be-detected area, and acquires the second remote sensing data corresponding to the identification and the second time of the to-be-detected area. The server sends the first remote sensing data and the second remote sensing data to the terminal, and the terminal acquires the first remote sensing data and the second remote sensing data.
In the embodiment, the server can store the remote sensing data of the region to be detected at different moments through the database, and the terminal can directly acquire the remote sensing data at the corresponding moment from the server, so that the efficiency is high.
In one possible implementation manner, the terminal can establish a network connection with the remote sensing detector, and the terminal sends a remote sensing data acquisition request to the remote sensing detector, where the remote sensing data acquisition request carries an identifier of the area to be detected, a first time and a second time. After the remote sensing detector receives the remote sensing data acquisition request, acquiring the identification, the first time and the second time of the to-be-detected area from the remote sensing data acquisition request, inquiring in a remote sensing database based on the identification, the first time and the second time of the to-be-detected area, acquiring first remote sensing data corresponding to the identification and the first time of the to-be-detected area, and acquiring second remote sensing data corresponding to the identification and the second time of the to-be-detected area. The remote sensing detector sends the first remote sensing data and the second remote sensing data to the terminal, and the terminal acquires the first remote sensing data and the second remote sensing data. The remote sensing detectors are located in the space, can send rays to the earth to acquire remote sensing data, and can be multiple in number, and the multiple remote sensing detectors form a remote sensing detector system.
If the second moment is the current moment and the first moment is the historical moment, the terminal sends a remote sensing data acquisition request to the remote sensing detector, wherein the remote sensing data acquisition request carries the identification of the area to be detected, the first moment and the current moment. After the remote sensing detector receives the remote sensing data acquisition request, the identification of the area to be detected is acquired from the remote sensing data acquisition request, and the position of the area to be detected is determined based on the identification of the area to be detected. The remote sensing detector sends rays with different wave bands to the position of the region to be detected, and the reflectivity of the rays with different wave bands in the region to be detected is obtained. The remote sensing detector generates second remote sensing data of the region to be detected based on the reflectivities of rays of different wave bands in the region to be detected. Meanwhile, the remote sensing detector queries in a remote sensing database based on the identification of the area to be detected and the first moment to acquire first remote sensing data corresponding to the identification of the area to be detected and the first moment, and sends the first remote sensing data and the second remote sensing data to the terminal, and the terminal acquires the first remote sensing data and the second remote sensing data.
302. The terminal generates the first region type diagram based on the first remote sensing data, wherein the first region type diagram is a region type diagram of the region to be detected at a first moment, and the region type diagram is used for indicating the region types of different positions in the region to be detected.
Wherein the region type of a location is that the location belongs to a first type of sub-region or a second type of sub-region. In the following description process, the first type of sub-area is taken as a water area, and the second type of water area is taken as an area except the water area in the area to be detected for illustration.
In one possible implementation manner, the first remote sensing data includes a first near infrared ray reflectivity and a first green wave reflectivity, wherein the first near infrared ray reflectivity is a near infrared ray reflectivity in the region to be detected at a first moment, the first green wave reflectivity is a green wave reflectivity in the region to be detected at the first moment, and the terminal determines a type of the sub-region in the region to be detected based on the first near infrared ray reflectivity and the first green wave reflectivity. The terminal generates the first region type map based on the type of the sub-region in the region to be detected.
In order to more clearly describe the above embodiments, the above embodiments will be described below in two parts.
And the first part is used for describing a method for determining the type of the subarea in the area to be detected by the terminal based on the first near infrared ray reflectivity and the first green wave reflectivity.
In one possible implementation, the terminal acquires a topography of the area to be detected, and divides the topography into a plurality of sub-areas. And for any subarea in the area to be detected, the terminal subtracts the first green wave reflectivity of the subarea from the first near infrared ray reflectivity of the subarea to obtain a first parameter. And the terminal adds the first green wave reflectivity of the subarea and the first near infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal divides the first parameter and the second parameter to obtain a third parameter. The terminal determines the type of the sub-region in the region to be detected based on the relation between the third parameter and the preset parameter threshold, for example, the type of the sub-region is determined to be the first type of sub-region in response to the third parameter being greater than or equal to the preset parameter threshold, otherwise, the type of the sub-region is determined to be the second type of sub-region, wherein the preset parameter threshold is set by a technician according to the actual situation, and the embodiment of the application is not limited to this.
For example, for a sub-region a within the region to be detected, the first green wave reflectivity of the sub-region a is 50%, and the first near infrared ray reflectivity of the sub-region a is 20%. The terminal subtracts the first green wave reflectivity 50% of the subarea a from the first near infrared ray reflectivity 20% of the subarea a to obtain a first parameter 30%. The terminal adds the first green wave reflectivity of the subarea A to the first near infrared ray reflectivity of the subarea A by 50% to obtain a second parameter of 70%. The terminal divides the first parameter 20% by the second parameter 70% to obtain a third parameter 0.286. If the preset parameter threshold is 0.3, the terminal determines that the third parameter 0.286 of the sub-area a is smaller than the preset parameter threshold 0.3, and determines the sub-area a as a sub-area of the second type. If the preset parameter threshold is 0.2, the terminal determines that the third parameter 0.286 of the sub-area a is greater than the preset parameter threshold 0.2, and determines the sub-area a as a first type sub-area.
In one possible implementation, the terminal acquires a topography of the area to be detected, and divides the topography into a plurality of sub-areas. And for any subarea in the area to be detected, the terminal subtracts the first green wave reflectivity of the subarea from the first mid-infrared ray reflectivity of the subarea to obtain a first parameter. And the terminal adds the first green wave reflectivity of the subarea and the first mid-infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal divides the first parameter and the second parameter to obtain a third parameter. The terminal determines the type of the sub-region in the region to be detected based on the relation between the third parameter and the preset parameter threshold, for example, the type of the sub-region is determined to be the first type of sub-region in response to the third parameter being greater than or equal to the preset parameter threshold, otherwise, the type of the sub-region is determined to be the second type of sub-region, wherein the preset parameter threshold is set by a technician according to the actual situation, and the embodiment of the application is not limited to this.
For example, for a subarea a within the area to be detected, the first green wave reflectivity of the subarea a is 50%, and the first mid-infrared ray reflectivity of the subarea a is 20%. The terminal subtracts the first green wave reflectivity 50% of the subarea A from the first mid-infrared ray reflectivity 20% of the subarea A to obtain a first parameter of 30%. The terminal adds the first green wave reflectivity of the subarea A to the first mid-infrared ray reflectivity of the subarea A by 50% to obtain a second parameter of 70%. The terminal divides the first parameter 20% by the second parameter 70% to obtain a third parameter 0.286. If the preset parameter threshold is 0.3, the terminal determines that the third parameter 0.286 of the sub-area a is smaller than the preset parameter threshold 0.3, and determines the sub-area a as a sub-area of the second type. If the preset parameter threshold is 0.2, the terminal determines that the third parameter 0.286 of the sub-area a is greater than the preset parameter threshold 0.2, and determines the sub-area a as a first type sub-area.
And the second part is used for explaining a method for generating a first region type diagram by the terminal based on the type of the sub-region in the region to be detected.
In a possible implementation manner, the terminal aggregates the plurality of sub-areas based on the types of the plurality of sub-areas in the area to be detected, and obtains a first area type diagram.
For example, the terminal adds labels to different sub-areas on the topographic map of the area to be detected based on the types of the plurality of sub-areas in the area to be detected, where the labels are used for indicating whether the corresponding sub-areas are the first type of sub-area or the second type of sub-area. The terminal aggregates the subregions with the same label into one region, sets dividing lines between the regions corresponding to different labels to obtain a first region type diagram, and the first region type diagram can reflect the region types at different positions in the region to be detected at the first moment. Taking an area to be detected, namely an area containing a lake or a river as an example, the first type of subareas, namely the area where the lake or the river is located, the first area type map can reflect the position of the lake or the river in the area to be detected at the first moment.
In one possible implementation, the terminal pre-processes the first telemetry data, the pre-processing including at least one of radiometric calibration, orthographic correction, geometric correction, and projective transformation. And the terminal generates the first region type graph based on the preprocessed first remote sensing data.
In one possible implementation, the terminal generates a first surface temperature map of the area to be detected based on the first remote sensing data, where the first surface temperature map is used to indicate the temperature of the sub-area within the area to be detected at the first moment. And the terminal generates a first initial region type diagram of the region to be detected based on the first remote sensing data. And the terminal generates a first region type map of the region to be detected based on the first surface temperature map and the first initial region type map.
In order to more clearly describe the above embodiments, the above embodiments will be described below in three sections.
a. The method for generating a first surface temperature map of the region to be detected by the terminal based on the first remote sensing data is described.
In one possible implementation manner, the first remote sensing data includes a first thermal infrared ray reflectivity in the to-be-detected area at a first moment, and the terminal inverts the first thermal infrared ray reflectivity in the to-be-detected area to obtain a first surface temperature map of the to-be-detected area.
For example, the terminal acquires a topographic map of the area to be detected, and divides the topographic map into a plurality of sub-areas. And the terminal performs linear transformation on the first thermal infrared ray reflectivity in the region to be detected at the first moment to obtain the temperature of the subarea in the region to be detected at the first moment. And the terminal generates a first surface temperature map of the region to be detected based on the temperature of the sub-region in the region to be detected at the first moment and the topographic map. Optionally, the method of linear transformation is any one of a single window algorithm, a split window algorithm, a multi-channel algorithm, and a multi-angle algorithm, which is not limited in the embodiments of the present application.
For example, the terminal inverts the first thermal infrared ray reflectivity of the region to be detected at the first moment based on a single window algorithm to obtain the temperature of the sub-region in the region to be detected. And the terminal determines different pixel values for the pixel points in the subareas in the topographic map based on the temperature of the subareas in the to-be-detected area at the first moment. In some embodiments, the higher the temperature of a sub-region, the greater the terminal can determine the pixel values of the pixels in that sub-region; the lower the temperature of the other sub-region, the smaller the terminal can determine the pixel values of the pixel points in the sub-region. The terminal generates a first surface temperature map of the region to be detected based on different pixel values of the pixel points in the sub-region. In the above process, since the terminal configures different pixel values for different temperatures, the temperatures at different positions in the to-be-detected area can be obtained rapidly through the pixel values of different pixel points in the first surface temperature map.
b. The method for generating a first initial region type diagram of the region to be detected by the terminal based on the first remote sensing data is described.
In one possible implementation, for any sub-region within the region to be detected, the terminal subtracts the first green wave reflectivity of the sub-region from the first near infrared ray reflectivity of the sub-region to obtain the first parameter. And the terminal adds the first green wave reflectivity of the subarea and the first near infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal divides the first parameter and the second parameter to obtain a third parameter. The terminal determines the type of the sub-region in the region to be detected based on the relation between the third parameter and the preset parameter threshold, for example, the type of the sub-region is determined to be the first type of sub-region in response to the third parameter being greater than or equal to the preset parameter threshold, otherwise, the type of the sub-region is determined to be the second type of sub-region, wherein the preset parameter threshold is set by a technician according to the actual situation, and the embodiment of the application is not limited to this. And the terminal generates a first initial region type diagram based on the type of the sub-region in the region to be detected.
c. The method for generating the first region type map of the region to be detected by the terminal based on the first surface temperature map and the first initial region type map is described.
In a possible implementation manner, the terminal clusters the plurality of pixels in the first surface temperature map based on the temperatures corresponding to the plurality of pixels in the first surface temperature map, and divides the plurality of pixels into a plurality of first type pixels and a plurality of second type pixels, wherein the temperatures corresponding to the first type pixels are smaller than a temperature threshold, and the temperatures corresponding to the second type pixels are larger than the temperature threshold. The terminal marks the area corresponding to the first type pixel point as a first type sub-area and marks the area corresponding to the second type pixel point as a second type sub-area on the first surface temperature map. And the terminal generates a first region type map of the region to be detected based on the type indicated by the first surface temperature map and the type indicated by the first initial region type map.
In this embodiment, the terminal can combine the surface map and the initial region type map to determine the region type map of the region to be detected, and can improve the accuracy of the region type map of the region to be detected.
In order to more clearly describe the above embodiments, the above embodiments will be described below in four sections.
A. The method for clustering the plurality of pixels in the surface temperature map based on the temperatures corresponding to the plurality of pixels in the surface temperature map is described.
In one possible implementation, in the first clustering process, the terminal randomly determines two pixels in the surface temperature map as two clustering centers of the first clustering process. The terminal determines the distance between the temperature corresponding to the pixel points and the temperature corresponding to the two clustering centers. And the terminal adjusts the pixel points corresponding to the two clustering centers based on the distance until the clustering is completed.
On the basis of the above embodiment, the following describes a method for adjusting pixel points corresponding to two cluster centers based on a distance by a terminal:
in one possible implementation, the terminal clusters the plurality of pixels into a plurality of first clustered pixels and a plurality of second clustered pixels based on the distance. The terminal adjusts the pixel points corresponding to the first clustering center and the pixel points corresponding to the second clustering center based on the first average temperature and the second average temperature, wherein the first clustering center and the second clustering center are two clustering centers. The first average temperature is the average temperature of the temperatures corresponding to the plurality of first clustering pixel points, and the second average temperature is the average temperature of the temperatures corresponding to the plurality of second clustering pixel points.
Optionally, the terminal clusters the plurality of pixels into a plurality of first clustered pixels and a plurality of second clustered pixels based on the distance, including any one of:
and determining the pixel point as the first clustering pixel point by the terminal in response to the distance between any one of the plurality of pixel points and the pixel point corresponding to the first clustering center being smaller than or equal to a first distance threshold and the distance between the pixel point and the pixel point corresponding to the second clustering center being larger than a second distance threshold.
And in response to the distance between the pixel point and the pixel point corresponding to the first clustering center being greater than a first distance threshold and the distance between the pixel point and the pixel point corresponding to the second clustering center being less than or equal to a second distance threshold, the terminal determines the pixel point as the second clustering pixel point.
Optionally, the terminal adjusts the pixel point corresponding to the first cluster center and the pixel point corresponding to the second cluster center based on the first average temperature and the second average temperature, including:
and the terminal adjusts the pixel point corresponding to the first clustering center to the pixel point corresponding to the first average temperature. And the terminal adjusts the pixel point corresponding to the second aggregation center to the pixel point corresponding to the second average temperature.
In some embodiments, the terminal clusters the plurality of pixels by using a K-means (K-means) method, for example, the terminal calculates a distance between a temperature corresponding to two cluster centers and a temperature corresponding to other pixels by using the following formula (1).
Wherein d is the distance between the temperature corresponding to one cluster center and the temperature corresponding to other pixel points in the two cluster centers, and x c For the temperature corresponding to the cluster center, x i The temperature corresponding to other pixel points.
If the two clustering centers are respectively marked as a clustering center A and a clustering center B, the pixel point a is divided into a type A corresponding to the clustering center A in response to the fact that the distance between the temperature corresponding to the pixel point a and the temperature corresponding to the clustering center A is smaller than the distance between the temperature corresponding to the pixel point a and the temperature corresponding to the clustering center B. And dividing the pixel point B into types B corresponding to the clustering center B in response to the fact that the distance between the temperature corresponding to the pixel point B and the temperature corresponding to the clustering center A is larger than the distance between the temperature corresponding to the pixel point B and the temperature corresponding to the clustering center B. In this way, the terminal can divide the plurality of pixel points in the first surface temperature map into the type a corresponding to the cluster center a and the type B corresponding to the cluster center B. After that, the terminal calculates a first average temperature belonging to the temperature corresponding to each pixel point in the type a corresponding to the cluster center a and calculates a second average temperature belonging to the temperature corresponding to each pixel point in the type B corresponding to the cluster center B by the following formula (2).
Wherein, the liquid crystal display device comprises a liquid crystal display device,for the corresponding average temperature, x, of all pixel points in one type (type a or type B) 1 -x n The temperature is respectively corresponding to each pixel point in one type, and n is the number of the pixel points in one type.
The terminal re-determines a cluster center C among the plurality of pixel points belonging to the type a based on the first average temperature, wherein the temperature corresponding to the cluster center is the first average temperature, and if no pixel point corresponding to the first average temperature exists among the plurality of pixel points belonging to the type a, the terminal can also determine the pixel point corresponding to the temperature with the smallest distance from the first average temperature as the cluster center C. The terminal re-determines a clustering center D among the plurality of pixel points belonging to the type B based on the first average temperature, wherein the temperature corresponding to the clustering center is the first average temperature, and if no pixel point corresponding to the first average temperature exists among the plurality of pixel points belonging to the type B, the terminal can also determine the pixel point corresponding to the temperature with the smallest distance from the first average temperature as the clustering center D.
The terminal performs the above-described step of re-determining the cluster center for the cluster center C and the cluster center D. And stopping the iterative process in response to the difference between the temperature corresponding to the redetermined clustering center and the temperature corresponding to the original clustering center being smaller than the temperature difference threshold, determining two final clustering centers E and F, and dividing a plurality of pixel points in the first surface temperature map into a type C corresponding to the clustering center E and a type D corresponding to the clustering center F.
B. And the terminal is described in the first earth surface temperature diagram, wherein the terminal marks the region corresponding to the first type of pixel point as a first type of sub-region, and marks the region corresponding to the second type of pixel point as a second type of sub-region.
In one possible implementation manner, on the first surface temperature map, the terminal uses 1 to represent the pixel point corresponding to the first type of sub-region, and uses 0 to represent the pixel point corresponding to the second type of sub-region.
C. The method for determining the type of the subarea in the area to be detected by the terminal based on the type indicated by the first surface temperature map and the type indicated by the first initial area type map is described.
In one possible implementation, for any sub-region, in response to the first surface temperature map and the first initial region type map indicating the type of the sub-region as the first type of sub-region, the terminal determines the type of the sub-region as the first type of sub-region. And responding to the first surface temperature map and the first initial region type map to indicate the type of the sub-region as the second type sub-region, and determining the type of the sub-region as the second type sub-region by the terminal. And responding to the type indicated by the first surface temperature map as a first type subarea, wherein the type indicated by the first initial area type map as a second type subarea, and determining the subarea as a first type pending subarea by the terminal. And responding to the type indicated by the first surface temperature map as a second type subarea, wherein the type indicated by the first initial area type map as a first type subarea, and determining the subarea as a second type pending subarea by the terminal.
For example, if the terminal generates the first surface temperature map and the first initial region type map, the same topography map is used. The terminal rasterizes the first surface temperature map and the first initial region type map, that is, divides the first surface temperature map into a temperature grid map composed of a plurality of grids and divides the first initial region type map into a region type grid map composed of a plurality of grids. The terminal marks the grid corresponding to the first type pixel point as a first type sub-area grid and marks the grid corresponding to the second type pixel point as a second type sub-area grid on the temperature grid chart, and in some embodiments, the terminal uses 1 to represent the first type sub-area grid and uses 0 to represent the second type sub-area grid. In the region type grid graph, the grid corresponding to the first type of sub-region pixel point is marked as a first type of sub-region grid, the grid corresponding to the second type of sub-region pixel point is marked as a second type of sub-region grid, and in some embodiments, the terminal also adopts 1 to represent the first type of sub-region grid, and adopts 0 to represent the second type of sub-region grid. The terminal superimposes the marked temperature grid patterns and marked region type grid patterns, if the mark of one grid in the temperature grid patterns is 1 and the mark of the corresponding grid in the region type grid patterns is also 1, the terminal can determine the grid as a first type of sub-region grid, and the region corresponding to the first type of sub-region grid is the first type of sub-region. If the mark of one grid in the temperature grid graph is 0 and the mark of the corresponding grid in the area type grid graph is also 0, the terminal can determine the grid as a second type of sub-area grid, and the area corresponding to the second type of sub-area grid is the second type of sub-area. If the mark of one grid in the temperature grid graph is 1 and the mark of the corresponding grid in the area type grid graph is 0, the terminal determines the grid as a first type of undetermined grid, and an area formed by the first type of undetermined grid is the first type of undetermined subarea. If the mark of one grid in the temperature grid graph is 0 and the mark of the corresponding grid in the area type grid graph is 1, the terminal can determine the grid as a second type of undetermined grid, and the area formed by the second type of undetermined grid is the second type of undetermined sub-area.
D. The method for generating the first region type map of the region to be detected by the terminal based on the type indicated by the first surface temperature map and the type indicated by the first initial region type map is described.
In one possible manner, the terminal can display a first type of pending sub-area and a second type of pending sub-area, and in response to an operation on the first type of pending sub-area, the first type of pending sub-area is determined as the first type of sub-area or the second type of area corresponding to the operation. In response to an operation on the second pending sub-area, the second pending sub-area is determined to be the first or second type sub-area corresponding to the operation. The terminal generates a first region type diagram based on the positions of the first type sub-region and the second type sub-region in the region to be detected.
303. And the terminal generates a second region type diagram based on the second remote sensing data, wherein the second region type diagram is a region type diagram of the region to be detected at a second moment.
Wherein the region type of a location is that the location belongs to a first type of sub-region or a second type of sub-region. In the following description process, the first type of sub-area is taken as a water area, and the second type of water area is taken as an area except the water area in the area to be detected for illustration.
In one possible implementation manner, the second remote sensing data includes a second near infrared ray reflectivity and a second green wave reflectivity, wherein the second near infrared ray reflectivity is a near infrared ray reflectivity in the region to be detected at a second moment, the second green wave reflectivity is a green wave reflectivity in the region to be detected at the second moment, and the terminal determines the type of the sub-region in the region to be detected based on the second near infrared ray reflectivity and the second green wave reflectivity. The terminal generates the second region type map based on the type of the sub-region in the region to be detected.
In order to more clearly describe the above embodiments, the above embodiments will be described below in two parts.
And the first part is used for describing a method for determining the type of the subarea in the area to be detected by the terminal based on the second near infrared ray reflectivity and the second green wave reflectivity.
In one possible implementation, the terminal acquires a topography of the area to be detected, and divides the topography into a plurality of sub-areas. And for any subarea in the area to be detected, the terminal subtracts the second green wave reflectivity of the subarea from the second near infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal adds the second green wave reflectivity of the subarea and the second near infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal divides the second parameter by the second parameter to obtain a third parameter. The terminal determines the type of the sub-region in the region to be detected based on the relation between the third parameter and the preset parameter threshold, for example, the type of the sub-region is determined to be the second type of sub-region in response to the third parameter being greater than or equal to the preset parameter threshold, otherwise, the type of the sub-region is determined to be the second type of sub-region, wherein the preset parameter threshold is set by a technician according to the actual situation, and the embodiment of the application is not limited to this.
For example, for a sub-region a within the region to be detected, the second green wave reflectivity of the sub-region a is 50%, and the second near infrared ray reflectivity of the sub-region a is 20%. The terminal subtracts the second green wave reflectivity 50% of the sub-area a from the second near infrared ray reflectivity 20% of the sub-area a to obtain a second parameter of 30%. The terminal adds the second green wave reflectivity of the sub-area A to the second near infrared ray reflectivity of the sub-area A of 20% to obtain a second parameter of 70%. The terminal divides the second parameter 20% by the second parameter 70% to obtain a third parameter 0.286. If the preset parameter threshold is 0.3, the terminal determines that the third parameter 0.286 of the sub-region a is smaller than the parameter threshold 0.3, and determines the sub-region a as the sub-region of the second type. If the preset parameter threshold is 0.2, the terminal determines that the third parameter 0.286 of the sub-region a is greater than the parameter threshold 0.2, and determines the sub-region a as a sub-region of the second type.
In one possible implementation, the terminal acquires a topography of the area to be detected, and divides the topography into a plurality of sub-areas. And for any subarea in the area to be detected, the terminal subtracts the second green wave reflectivity of the subarea from the second mid-infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal adds the second green wave reflectivity of the subarea and the second mid-infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal divides the second parameter by the second parameter to obtain a third parameter. The terminal determines the type of the sub-region in the region to be detected based on the relation between the third parameter and the preset parameter threshold, for example, the type of the sub-region is determined to be the second type of sub-region in response to the third parameter being greater than or equal to the preset parameter threshold, otherwise, the type of the sub-region is determined to be the second type of sub-region, wherein the preset parameter threshold is set by a technician according to the actual situation, and the embodiment of the application is not limited to this.
For example, for a subarea a within the area to be detected, the second green wave reflectivity of the subarea a is 50%, and the second mid-infrared ray reflectivity of the subarea a is 20%. The terminal subtracts the second green wave reflectivity 50% of the subarea a from the second mid-infrared ray reflectivity 20% of the subarea a to obtain a second parameter 30%. The terminal adds the second green wave reflectivity of the subarea A to the reflectivity of the subarea A for the second mid-infrared ray by 20%, and a second parameter of 70% is obtained. The terminal divides the second parameter 20% by the second parameter 70% to obtain a third parameter 0.286. If the preset parameter threshold is 0.3, the terminal determines that the third parameter 0.286 of the sub-area a is smaller than the preset parameter threshold 0.3, and determines the sub-area a as a sub-area of the second type. If the preset parameter threshold is 0.2, the terminal determines that the third parameter 0.286 of the sub-area a is greater than the preset parameter threshold 0.2, and determines the sub-area a as a sub-area of the second type.
And the second part is used for explaining a method for generating a second region type diagram by the terminal based on the type of the sub-region in the region to be detected.
In a possible implementation manner, the terminal aggregates the plurality of sub-areas based on the types of the plurality of sub-areas in the area to be detected, and obtains a second area type diagram.
For example, the terminal adds labels to different sub-areas on the topographic map of the area to be detected based on the types of the plurality of sub-areas in the area to be detected, where the labels are used to indicate whether the corresponding sub-areas are the second type of sub-areas or the second type of sub-areas. The terminal aggregates the subregions with the same label into one region, sets dividing lines between the regions corresponding to different labels, and obtains a second region type diagram, wherein the second region type diagram can reflect the region types at different positions in the region to be detected at a second moment. Taking the area to be detected, namely the area containing the lake or the river as an example, the second type of subareas, namely the area where the lake or the river is located, the second area type map can reflect the position where the lake or the river is located in the area to be detected at the second moment.
In one possible implementation, the terminal pre-processes the second telemetry data, the pre-processing including at least one of radiometric calibration, orthographic correction, geometric correction, and projective transformation. And the terminal generates the second region type graph based on the preprocessed second remote sensing data.
In one possible implementation, the terminal generates a second surface temperature map of the area to be detected based on the second remote sensing data, where the second surface temperature map is used to indicate the temperature of the sub-area within the area to be detected at the first moment. And the terminal generates a second initial region type diagram of the region to be detected based on the second remote sensing data. And the terminal generates a second region type map of the region to be detected based on the second surface temperature map and the second initial region type map.
In order to more clearly describe the above embodiments, the above embodiments will be described below in three sections.
c. The method for generating the second surface temperature map of the region to be detected by the terminal based on the second remote sensing data is described.
In one possible implementation manner, the second remote sensing data includes a first thermal infrared ray reflectivity in the to-be-detected area at the first moment, and the terminal inverts the first thermal infrared ray reflectivity in the to-be-detected area to obtain a second surface temperature map of the to-be-detected area.
For example, the terminal acquires a topographic map of the area to be detected, and divides the topographic map into a plurality of sub-areas. And the terminal performs linear transformation on the first thermal infrared ray reflectivity in the region to be detected at the first moment to obtain the temperature of the subarea in the region to be detected at the first moment. And the terminal generates a second surface temperature map of the region to be detected based on the temperature of the sub-region in the region to be detected at the first moment and the topographic map. Optionally, the method of linear transformation is any one of a single window algorithm, a split window algorithm, a multi-channel algorithm, and a multi-angle algorithm, which is not limited in the embodiments of the present application.
For example, the terminal inverts the first thermal infrared ray reflectivity of the region to be detected at the first moment based on a single window algorithm to obtain the temperature of the sub-region in the region to be detected. And the terminal determines different pixel values for the pixel points in the subareas in the topographic map based on the temperature of the subareas in the to-be-detected area at the first moment. In some embodiments, the higher the temperature of a sub-region, the greater the terminal can determine the pixel values of the pixels in that sub-region; the lower the temperature of the other sub-region, the smaller the terminal can determine the pixel values of the pixel points in the sub-region. The terminal generates a second surface temperature map of the region to be detected based on different pixel values of the pixel points in the sub-region. In the above process, since the terminal configures different pixel values for different temperatures, the temperatures at different positions in the to-be-detected area can be obtained rapidly through the pixel values of different pixel points in the second surface temperature map.
d. The method for generating a second initial region type map of the region to be detected by the terminal based on the second remote sensing data is described.
In one possible implementation manner, for any sub-region in the region to be detected, the terminal subtracts the first green wave reflectivity of any sub-region from the first near infrared ray reflectivity of any sub-region to obtain the first parameter. And the terminal adds the first green wave reflectivity of the subarea and the first near infrared ray reflectivity of the subarea to obtain a second parameter. And the terminal divides the first parameter and the second parameter to obtain a third parameter. The terminal determines the type of the sub-region in the region to be detected based on the relation between the third parameter and the preset parameter threshold, for example, the type of the sub-region is determined to be the first type of sub-region in response to the third parameter being greater than or equal to the preset parameter threshold, otherwise, the type of the sub-region is determined to be the second type of sub-region, wherein the preset parameter threshold is set by a technician according to the actual situation, and the embodiment of the application is not limited to this. And the terminal generates a second initial region type diagram based on the type of the sub-region in the region to be detected.
c. The method for generating the second region type map of the region to be detected by the terminal based on the second surface temperature map and the second initial region type map is described.
In a possible implementation manner, the terminal clusters the plurality of pixels in the second surface temperature map based on the temperatures corresponding to the plurality of pixels in the second surface temperature map, and divides the plurality of pixels into a plurality of first type pixels and a plurality of second type pixels, wherein the temperatures corresponding to the first type pixels are smaller than a temperature threshold, and the temperatures corresponding to the second type pixels are larger than the temperature threshold. And the terminal marks the region corresponding to the first type pixel point as a first type sub-region and marks the region corresponding to the second type pixel point as a second type sub-region on a second surface temperature map. And the terminal generates a second region type map of the region to be detected based on the type indicated by the second surface temperature map and the type indicated by the second initial region type map.
In this embodiment, the terminal can combine the surface map and the initial region type map to determine the region type map of the region to be detected, and can improve the accuracy of the region type map of the region to be detected.
In order to more clearly describe the above embodiments, the above embodiments will be described below in four sections.
A. The method for clustering the plurality of pixels in the surface temperature map based on the temperatures corresponding to the plurality of pixels in the surface temperature map is described.
In one possible implementation, in the first clustering process, the terminal randomly determines two pixels in the surface temperature map as two clustering centers of the first clustering process. The terminal determines the distance between the temperature corresponding to the pixel points and the temperature corresponding to the two clustering centers. And the terminal adjusts the pixel points corresponding to the two clustering centers based on the distance until the clustering is completed.
B. And the terminal is described in the second earth surface temperature diagram by marking the area corresponding to the first type pixel point as a first type subarea and marking the area corresponding to the second type pixel point as a second type subarea.
In one possible implementation, the terminal uses 1 to represent the pixel point corresponding to the first type of sub-region and uses 0 to represent the pixel point corresponding to the second type of sub-region on the second surface temperature map.
C. And the method for determining the type of the subarea in the area to be detected by the terminal based on the type indicated by the second surface temperature map and the type indicated by the second initial area type map is described.
In one possible implementation, for any sub-region, in response to the second surface temperature map and the second initial region type map indicating the type of the sub-region as the first type of sub-region, the terminal determines the type of the sub-region as the first type of sub-region. And responding to the second surface temperature map and the second initial region type map to indicate the type of the second type of sub-region, and determining the type of the sub-region as the second type of sub-region by the terminal. And responding to the type indicated by the second surface temperature map as a first type subarea, wherein the type indicated by the second initial area type map as a second type subarea, and determining the subarea as a first type pending subarea by the terminal. And responding to the type indicated by the second surface temperature map as a second type subarea, wherein the type indicated by the second initial area type map as a first type subarea, and determining the subarea as a second type pending subarea by the terminal.
For example, if the terminal generates the second map and the second initial region type map, the same map is used. The terminal rasterizes the second surface temperature map and the second initial region type map, that is, divides the second surface temperature map into a temperature grid map composed of a plurality of grids and divides the second initial region type map into a region type grid map composed of a plurality of grids. The terminal marks the grid corresponding to the first type pixel point as a first type sub-area grid and marks the grid corresponding to the second type pixel point as a second type sub-area grid on the temperature grid chart, and in some embodiments, the terminal uses 1 to represent the first type sub-area grid and uses 0 to represent the second type sub-area grid. In the region type grid graph, the grid corresponding to the first type of sub-region pixel point is marked as a first type of sub-region grid, the grid corresponding to the second type of sub-region pixel point is marked as a second type of sub-region grid, and in some embodiments, the terminal also adopts 1 to represent the first type of sub-region grid, and adopts 0 to represent the second type of sub-region grid. The terminal superimposes the marked temperature grid patterns and marked region type grid patterns, if the mark of one grid in the temperature grid patterns is 1 and the mark of the corresponding grid in the region type grid patterns is also 1, the terminal can determine the grid as a first type of sub-region grid, and the region corresponding to the first type of sub-region grid is the first type of sub-region. If the mark of one grid in the temperature grid graph is 0 and the mark of the corresponding grid in the area type grid graph is also 0, the terminal can determine the grid as a second type of sub-area grid, and the area corresponding to the second type of sub-area grid is the second type of sub-area. If the mark of one grid in the temperature grid graph is 1 and the mark of the corresponding grid in the area type grid graph is 0, the terminal determines the grid as a first type of undetermined grid, and an area formed by the first type of undetermined grid is the first type of undetermined subarea. If the mark of one grid in the temperature grid graph is 0 and the mark of the corresponding grid in the area type grid graph is 1, the terminal can determine the grid as a second type of undetermined grid, and the area formed by the second type of undetermined grid is the second type of undetermined sub-area.
D. The method for generating the second region type map of the region to be detected by the terminal based on the type indicated by the second surface temperature map and the type indicated by the second initial region type map is described.
In one possible manner, the terminal can display a first type of pending sub-area and a second type of pending sub-area, and in response to an operation on the first type of pending sub-area, the first type of pending sub-area is determined as the first type of sub-area or the second type of area corresponding to the operation. In response to an operation on the second pending sub-area, the second pending sub-area is determined to be the first or second type sub-area corresponding to the operation. And the terminal generates a second region type diagram based on the positions of the first region and the second region in the region to be detected.
304. The terminal obtains first elevation values of a plurality of position points in the to-be-detected area at the first moment. The terminal obtains a first digital elevation model of the area to be detected based on the first elevation values of the plurality of position points.
The first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the digital elevation model is used for indicating elevation values of different positions in the region to be detected. In some embodiments, the first digital elevation model is configured in advance by a technician, or is generated in real time, or is obtained from a network, which is not limited in the embodiments of the present application.
In one possible implementation manner, the terminal sends a first elevation value obtaining request to the server, where the first elevation value obtaining request carries an identifier of the area to be detected and a first moment. After receiving the first elevation value obtaining request, the server obtains the identification of the area to be detected and the first moment from the first elevation value obtaining request. The server queries in the database based on the identification of the area to be detected and the first moment, and obtains first elevation values of a plurality of position points in the area to be detected at the first moment. The terminal generates the first digital elevation model based on the first elevation values of the plurality of location points.
In this embodiment, the terminal can directly obtain the first elevation values of the plurality of location points in the area to be detected from the server, and generate the first digital elevation model based on the first elevation values of the plurality of location points, which is high in efficiency.
In one possible implementation manner, the terminal sends a first elevation value obtaining request to the server, where the first elevation value obtaining request carries an identifier of the area to be detected and a first moment. After receiving the first elevation value obtaining request, the server obtains the identification of the area to be detected and the first moment from the first elevation value obtaining request. The server queries in the database based on the identification of the area to be detected and the first moment, and obtains first elevation values of a plurality of position points in the area to be detected at the first moment. And the terminal generates a first initial digital elevation model of the region to be detected at the first moment based on the first elevation values of the plurality of position points. And the terminal interpolates the first initial digital elevation model to obtain the first digital elevation model. Since the area to be detected often includes more location points than the number of location points acquired by the terminal, the terminal can generate a first initial digital elevation model based on the acquired first heights Cheng Zhilai of the plurality of location points, and the first initial digital elevation model is generated based on the acquired first elevation values of the location points, and for other location points in the area to be detected, the terminal can determine the first elevation values thereof by adopting an interpolation mode.
The manner in which the terminal performs differential interpolation on the first initial digital elevation model is described below.
In one possible embodiment, for any two adjacent location points in the first initial digital elevation model, the first elevation value of the two adjacent location points is the elevation value obtained by the terminal from the server. A target position point is also present between two adjacent position points, and the first elevation value terminal of the target position point is not acquired from the server. When determining the first elevation value of the target position point, the terminal can determine two first weights based on the distance between the target position point and the two adjacent position points respectively, wherein the first weights are positively correlated with the distance between the target position point and the corresponding position point. The terminal performs weighted summation on the first elevation values of the two adjacent position points based on the two first weights to obtain a first elevation value of the target position point, and the process is an interpolation process.
For example, if the area to be detected includes adjacent position points a and B, a target position point C exists between the position points a and B, and the distances from the position points a and B to the target position point C are 60. If the first elevation value of the position point a is 50 and the first elevation value of the position point B is 70, when the first elevation value of the target position point C is determined, the first weights corresponding to the position point a and the position point B are both 0.5 because the distances from the position point a and the position point B to the target position point C are the same. The terminal performs weighted summation on the first elevation values of the position point a and the position point B and the corresponding first weights, namely 50×0.5+70×0.5=60, and 60 is the first elevation value of the target position point C.
In one possible implementation manner, the terminal sends a first elevation value obtaining request to the server, where the first elevation value obtaining request carries an identifier of a region to be detected, a position of a first type of sub-region in the region to be detected, and a first time, and the position of the first type of sub-region is determined by the terminal based on the first region type map. After receiving the first elevation value obtaining request, the server obtains the identification of the area to be detected, the position of the first type subarea in the area to be detected and the first moment from the first elevation value obtaining request. The server queries in the database based on the identification of the region to be detected, the position of the first type of sub-region in the region to be detected and the first moment to obtain first elevation values of a plurality of position points belonging to the first type of sub-region in the region to be detected at the first moment. The terminal generates the first digital elevation model based on the first elevation values of the plurality of location points.
In this embodiment, the terminal may only obtain the first elevation values of the plurality of location points in the first type of sub-area in the area to be detected, and the first digital elevation model generated based on the first elevation values is the digital elevation model of the first type of sub-area in the area to be detected at the first time. The data volume acquired by the terminal is greatly reduced, and the acquisition efficiency of the first digital elevation model is improved.
305. And the terminal acquires second elevation values of a plurality of position points in the to-be-detected area at the second moment. And the terminal acquires a second digital elevation model of the region to be detected based on the second elevation values of the plurality of position points.
The second digital elevation model is a digital elevation model of the to-be-detected area at the second moment, and the digital elevation model is used for indicating elevation values of different positions in the to-be-detected area. In some embodiments, the second digital elevation model is configured in advance by a technician, or is generated in real-time, or is obtained from a network, which is not limited in the embodiments of the present application.
In one possible implementation manner, the terminal sends a second elevation value obtaining request to the server, where the second elevation value obtaining request carries the identifier of the area to be detected and the second moment. After receiving the second elevation value obtaining request, the server obtains the identification of the area to be detected and the second moment from the second elevation value obtaining request. The server queries in the database based on the identification of the area to be detected and a second moment to obtain second elevation values of a plurality of position points in the area to be detected at the second moment. The terminal generates the second digital elevation model based on the second elevation values of the plurality of location points.
In the embodiment, the terminal can directly obtain the second elevation values of the plurality of position points in the region to be detected from the server, and generate the second digital elevation model based on the second elevation values of the plurality of position points, so that the efficiency is high.
In one possible implementation manner, the terminal sends a second elevation value obtaining request to the server, where the second elevation value obtaining request carries the identifier of the area to be detected and the second moment. After receiving the second elevation value obtaining request, the server obtains the identification of the area to be detected and the second moment from the second elevation value obtaining request. The server queries in the database based on the identification of the area to be detected and a second moment to obtain second elevation values of a plurality of position points in the area to be detected at the second moment. And the terminal generates a second initial digital elevation model of the region to be detected at the second moment based on the second elevation values of the plurality of position points. And the terminal interpolates the second initial digital elevation model to obtain the second digital elevation model. Since the number of location points included in the area to be detected is often greater than the number of location points acquired by the terminal, the terminal can generate a second initial digital elevation model based on the acquired second elevation values of the plurality of location points, where the second initial digital elevation model is generated based on the acquired second elevation values of the location points, and for other location points in the area to be detected, the terminal can determine the second elevation values thereof by adopting an interpolation method.
The manner in which the terminal performs differential interpolation on the second initial digital elevation model is described below.
In one possible embodiment, for any two adjacent location points in the second initial digital elevation model, the second elevation values of the two adjacent location points are the elevation values obtained by the terminal from the server. A target position point is also present between two adjacent position points, and the second elevation value terminal of the target position point is not acquired from the server. When determining the second elevation value of the target position point, the terminal can determine two first weights based on the distances between the target position point and the two adjacent position points respectively, wherein the first weights are positively correlated with the distances between the target position point and the corresponding position points. The terminal performs weighted summation on the second elevation values of the two adjacent position points based on the two first weights to obtain a second elevation value of the target position point, and the process is an interpolation process.
In one possible implementation manner, the terminal sends a second elevation value acquisition request to the server, where the second elevation value acquisition request carries an identifier of a region to be detected, a position of a first type of sub-region in the region to be detected, and a second moment, and the position of the first type of sub-region is determined by the terminal based on the second region type map. After receiving the second elevation value obtaining request, the server obtains the identification of the area to be detected, the position of the first type subarea in the area to be detected and the second moment from the second elevation value obtaining request. The server queries in the database based on the identification of the region to be detected, the position of the first type of sub-region in the region to be detected and the second moment to obtain second elevation values of a plurality of position points belonging to the first type of sub-region in the region to be detected at the second moment. The terminal generates the second digital elevation model based on the second elevation values of the plurality of location points.
In this embodiment, the terminal may only obtain the second elevation values of the plurality of location points in the first type of sub-area in the area to be detected, and the second digital elevation model generated based on the second elevation values is the digital elevation model of the first type of sub-area in the area to be detected at the second time. The data volume acquired by the terminal is greatly reduced, and the acquisition efficiency of the second digital elevation model is improved.
306. The terminal determines a target elevation difference based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, wherein the target elevation difference is an elevation change value from the first moment to the second moment.
In one possible implementation, the terminal determines a first elevation value of a first type of sub-region in the region to be detected in the first region type map based on the first digital elevation model. And the terminal determines a second elevation value of the first type subarea in the area to be detected in the second area type diagram based on the second digital elevation model. The terminal determines a difference between the first elevation value and the second elevation value as the target elevation difference. If the first type of subareas are rivers or lakes, the target elevation difference can reflect the water level change of the rivers or the lakes. In some embodiments, the first elevation value is an elevation value of a target position in the area to be detected at a first time, and the second elevation value is an elevation value of a target position in the area to be detected at a second time, where the target position is an edge of a first type of sub-area in the area to be detected, and if the first type of sub-area is a lake, then the target position is an edge of the lake, and of course, since areas of the first type of sub-area in the area to be detected may be different at the first time and the second time, then reflected in the first area type map and the second area type map, the target position may also be different.
The above embodiments are described below by way of two examples.
In example 1, the target position is an edge of a first type of sub-region, and the terminal determines, in the first region type map, a first elevation value of the edge of the first type of sub-region based on the first digital elevation model. The terminal determines a first edge coordinate of the first type subarea in the first area type diagram. The terminal obtains the first elevation value corresponding to the first edge coordinate from the first digital elevation model. The terminal determines coordinates of the edges of the first type subareas in the first area type graph, and matches the coordinates in the first digital elevation model based on the coordinates to obtain first elevation values of the edges of the first type subareas. And the terminal determines a second elevation value of the edge of the first type subarea in the area to be detected in the second area type diagram based on the second digital elevation model. The terminal determines second edge coordinates of the first type subarea in the second area type diagram. And the terminal acquires the second elevation value corresponding to the second edge coordinate from the second digital elevation model. The terminal determines the coordinates of the edges of the first type subareas in the second area type graph, and matches the coordinates in the second digital elevation model based on the coordinates to obtain second elevation values of the edges of the first type subareas. And the terminal makes a difference between the first elevation value and the second elevation value to obtain the target elevation difference.
In this embodiment, the terminal is able to determine, for a particular location in the area to be detected, a transition from the first moment to the second moment, a change in the elevation value of the target location, i.e. a target elevation difference. If the first type subarea is a river or a lake, the edge of the first type subarea is the edge of the river or the lake, and the water level change of the river or the lake can be determined by determining the edge of the elevation value of the edge of the river or the lake.
Example 2, the target position is an edge of a first type sub-region, and the terminal determines a plurality of first edge coordinates of the first type sub-region in the first region type map. The terminal obtains a plurality of first candidate elevation values corresponding to the plurality of first edge coordinates from the first digital elevation model. The terminal determines an average of the plurality of first candidate elevation values as the first elevation value. The terminal determines a plurality of second edge coordinates of the first type sub-region in the second region type diagram. And the terminal acquires a plurality of second candidate elevation values corresponding to the plurality of second edge coordinates from the second digital elevation model. The terminal determines an average of the plurality of second candidate elevation values as the second elevation value. And the terminal makes a difference between the first elevation value and the second elevation value to obtain the target elevation difference.
In this embodiment, the first elevation value and the second elevation value reflect the elevation value of the first type of sub-region in the region to be detected as a whole, and the target elevation difference determined by the first elevation value and the second elevation value can reflect the elevation value change of the first type of sub-region in the region to be detected as a whole. If the first type subarea is a river or a lake, the determined target elevation difference can reflect the water level change of the river or the lake on the whole.
Through the technical scheme provided by the embodiment of the application, the electronic equipment can acquire the first region type diagram and the second region type diagram of the region to be detected, and the first region type diagram and the second region type diagram can reflect the change condition of the region type of the region to be detected at the first moment and the second moment. The electronic equipment acquires a first digital elevation model and a second digital elevation model, the first digital elevation model and the second digital elevation model can reflect the elevation change condition of the region to be detected at the first moment and the second moment, and the target elevation difference of the first type subarea at the first moment and the second moment can be accurately determined based on the first region type diagram, the second region type diagram, the first digital elevation model and the second digital elevation model, so that the accuracy of the target elevation difference is higher.
Corresponding to the above method embodiment, referring to fig. 5, the embodiment of the present application further provides a device 500 for determining an elevation difference, including: a region type map acquisition module 501, a digital elevation model acquisition module 502, and an elevation difference determination module 503.
The region type map obtaining module 501 is configured to obtain a region type map of a region to be detected, where the region type map is used to indicate region types of different positions in the region to be detected; the region type map comprises a first region type map and a second region type map, wherein the first region type map is a region type map of the region to be detected at a first moment, and the second region type map is a region type map of the region to be detected at a second moment;
the digital elevation model obtaining module 502 is configured to obtain a digital elevation model of the to-be-detected area, where the digital elevation model is used to indicate elevation values of different positions in the to-be-detected area; the digital elevation model includes a first digital elevation model and a second digital elevation model; the first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the second digital elevation model is a digital elevation model of the region to be detected at the second moment;
The elevation difference determining module 503 is configured to determine a target elevation difference based on the first region type map, the second region type map, the first digital elevation model, and the second digital elevation model, where the target elevation difference is an elevation change value from the first time to the second time.
In a possible implementation manner, the region type map obtaining module 501 is configured to obtain remote sensing data of the region to be detected, where the remote sensing data is used to indicate reflectivity of rays in different wavebands in the region to be detected; the remote sensing data comprise first remote sensing data and second remote sensing data, wherein the first remote sensing data are remote sensing data of the region to be detected at the first moment, and the second remote sensing data are remote sensing data of the region to be detected at the second moment; generating the first region type map based on the first remote sensing data; the second region type map is generated based on the second remote sensing data.
In a possible implementation manner, the first remote sensing data includes a first near infrared ray reflectivity and a first green wave reflectivity, and the region type map obtaining module 501 is configured to determine a type of a sub-region in the region to be detected based on the first near infrared ray reflectivity and the first green wave reflectivity; and generating the first region type diagram based on the types of the sub-regions in the region to be detected.
In a possible implementation manner, the region type map obtaining module 501 is configured to subtract, for a sub-region in the region to be detected, a first green wave reflectivity and a first near infrared ray reflectivity of the sub-region to obtain a first parameter; adding the first green wave reflectivity of the subarea and the first near infrared ray reflectivity to obtain a second parameter; dividing the first parameter by the second parameter to obtain a third parameter; and determining the type of the subarea in the area to be detected based on the relation between the third parameter and a preset parameter threshold value.
In a possible implementation manner, the region type map obtaining module 501 is configured to determine, in response to the third parameter being greater than or equal to the preset parameter threshold, a corresponding region type as the first type region; and determining the corresponding sub-region type as a second type sub-region in response to the third parameter being smaller than the preset parameter threshold.
In a possible implementation, the region type map acquisition module 501 is configured to pre-process the first remote sensing data, where the pre-process includes at least one of radiometric calibration, orthographic correction, geometric correction, and projective transformation; and generating the first region type map based on the preprocessed first remote sensing data.
In a possible implementation manner, the second remote sensing data includes a second near infrared ray reflectivity and a second green wave reflectivity, and the region type map obtaining module 501 is configured to determine a type of a sub-region in the region to be detected based on the second near infrared ray reflectivity and the second green wave reflectivity; and generating the second region type map based on the types of the sub-regions in the region to be detected.
In a possible implementation manner, the digital elevation model obtaining module 502 is configured to obtain a first elevation value of a plurality of location points in the to-be-detected area at the first moment; acquiring a first digital elevation model of the region to be detected based on the first elevation values of the plurality of position points; acquiring second elevation values of a plurality of position points in the to-be-detected area at the second moment; and acquiring a second digital elevation model of the region to be detected based on the second elevation values of the plurality of position points.
In a possible implementation manner, the digital elevation model obtaining module 502 is configured to generate a first initial digital elevation model of the area to be detected at the first moment based on the first elevation values of the plurality of location points; and interpolating the first initial digital elevation model to obtain the first digital elevation model.
In a possible manner, the elevation difference determining module 503 is configured to determine, based on the first digital elevation model, a first elevation value of a first type of sub-region in the region to be detected in the first region type map; determining a second elevation value of the first type subarea in the area to be detected in the second area type diagram based on the second digital elevation model; the difference between the first elevation value and the second elevation value is determined as the target elevation difference.
In one possible manner, the elevation difference determining module 503 is configured to perform any one of the following:
determining a first edge coordinate of the first type subarea in the first area type graph; acquiring the first elevation value corresponding to the first edge coordinate from the first digital elevation model;
determining a plurality of first edge coordinates of the first type sub-region in the first region type map; acquiring a plurality of first candidate elevation values corresponding to the plurality of first edge coordinates from the first digital elevation model; an average of the plurality of first candidate elevation values is determined as the first elevation value.
The apparatus shown in fig. 5 may correspondingly perform the content of the above method embodiment, and the portions not described in detail in this embodiment refer to the content described in the above method embodiment, which is not described herein again.
Referring to fig. 6, an embodiment of the present application further provides an electronic device 600, including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining an elevation difference in the foregoing method embodiments.
Embodiments of the present application also provide a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method for determining an elevation difference in the foregoing method embodiments.
The present application also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of determining an elevation difference in the foregoing method embodiments.
Referring now to fig. 6, a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present application is shown. The electronic device 600 in the embodiments of the present application may include, but is not limited to, mobile electronic devices such as notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and the like, as well as stationary electronic devices such as digital TVs, desktop computers, and the like. The electronic device 600 shown in fig. 6 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments herein.
As shown in fig. 6, the electronic device 600 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
In general, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; an output device 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, magnetic tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While an electronic device 600 having various means is shown, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 609, or from storage means 608, or from ROM 602. The above-described functions defined in the methods of the embodiments of the present application are performed when the computer program is executed by the processing means 601.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising the at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects an internet protocol address from the at least two internet protocol addresses and returns the internet protocol address; receiving an Internet protocol address returned by the node evaluation equipment; wherein the acquired internet protocol address indicates an edge node in the content distribution network.
Alternatively, the computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from the at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware. The name of the unit does not in any way constitute a limitation of the unit itself, for example the first acquisition unit may also be described as "unit acquiring at least two internet protocol addresses".
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.
The foregoing is merely specific embodiments of the disclosure, but the protection scope of the disclosure is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the disclosure are intended to be covered by the protection scope of the disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (10)

1. A method of determining an altitude difference, the method being based on remote sensing data for determining an altitude difference of a lake or river, the method comprising:
acquiring an area type diagram of an area to be detected, wherein the area type diagram is used for indicating the area types of different positions in the area to be detected; the region type map comprises a first region type map and a second region type map, wherein the first region type map is a region type map of the region to be detected at a first moment, and the second region type map is a region type map of the region to be detected at a second moment; the first region type map is generated based on the preprocessed first remote sensing data; the second region type map is generated based on the preprocessed second remote sensing data; the first region type diagram and the second region type diagram are used for reflecting the change condition of the region type of the region to be detected at a first moment and a second moment; the first remote sensing data and the second remote sensing data are acquired by a remote sensing detector positioned in the space; the region to be detected comprises a first type of sub-region and a second type of sub-region; the first type subareas are adopted to represent the areas where lakes or rivers are located, namely water areas; the second type subareas are adopted to represent land areas or vegetation areas, namely areas except water removal areas;
Acquiring a digital elevation model of the region to be detected, wherein the digital elevation model is used for indicating elevation values of different positions in the region to be detected; the digital elevation model comprises a first digital elevation model and a second digital elevation model; the first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the second digital elevation model is a digital elevation model of the region to be detected at the second moment;
determining a target elevation difference based on the first region type map, the second region type map, the first digital elevation model and the second digital elevation model, wherein the target elevation difference is an elevation change value from the first moment to the second moment;
the obtaining the region type map of the region to be detected comprises the following steps:
acquiring remote sensing data of the region to be detected, wherein the remote sensing data are used for indicating the reflectivities of rays with different wave bands in the region to be detected; the remote sensing data comprise first remote sensing data and second remote sensing data, the first remote sensing data are remote sensing data of the area to be detected at the first moment, and the second remote sensing data are remote sensing data of the area to be detected at the second moment;
Generating the first region type map based on the first remote sensing data;
generating the second region type map based on the second remote sensing data;
wherein the generating the first region type map based on the first remote sensing data includes: based on the types of the plurality of subareas at the first moment in the area to be detected, aggregating the plurality of subareas to obtain the first area type diagram;
wherein the generating the second region type map based on the second remote sensing data includes: based on the types of the plurality of subareas at the second moment in the area to be detected, aggregating the plurality of subareas to obtain a second area type diagram;
the obtaining the remote sensing data of the area to be detected includes: after the remote sensing detector receives the remote sensing data acquisition request, acquiring the identification of the to-be-detected area from the remote sensing data acquisition request, and determining the position of the to-be-detected area based on the identification of the to-be-detected area; the remote sensing detector sends rays with different wave bands to the position of the region to be detected, and the reflectivity of the rays with different wave bands in the region to be detected is obtained; the remote sensing detector generates remote sensing data of the region to be detected based on the reflectivities of rays of different wave bands in the region to be detected;
The obtaining the digital elevation model of the region to be detected comprises the following steps:
acquiring first elevation values of a plurality of position points in the region to be detected at the first moment; acquiring a first digital elevation model of the region to be detected based on first elevation values of the plurality of position points;
acquiring second elevation values of a plurality of position points in the region to be detected at the second moment; acquiring a second digital elevation model of the region to be detected based on second elevation values of the plurality of position points;
the obtaining a first digital elevation model of the region to be detected based on the first elevation values of the plurality of position points includes:
generating a first initial digital elevation model of the region to be detected at the first moment based on first elevation values of the plurality of position points;
interpolating the first initial digital elevation model to obtain the first digital elevation model;
interpolating the first initial digital elevation model, comprising:
for any two adjacent position points in the first initial digital elevation model, setting a target position point between the two adjacent position points, respectively determining a first weight corresponding to each position point in the two adjacent position points based on the distance between the target position point and the two adjacent position points, multiplying the first elevation value of each position point in the two adjacent position points by the corresponding first weight, and summing the products corresponding to the two adjacent position points to obtain a first elevation value of the target position point, wherein the first weight is positively correlated with the distance between the target position point and the corresponding position point;
Determining a target elevation difference based on the first region type map, the second region type map, the first digital elevation model, and the second digital elevation model, comprising:
the target position is the edge of a first type subarea, a first edge coordinate of the first type subarea is determined in the first area type diagram, and a first elevation value corresponding to the first edge coordinate is obtained from the first digital elevation model;
determining a second edge coordinate of the first type subarea in the second area type diagram, and acquiring a second elevation value corresponding to the second edge coordinate from the second digital elevation model;
the first elevation value corresponding to the first edge coordinate and the second elevation value corresponding to the second edge coordinate are differed to obtain a target elevation difference of the target position, and the target elevation difference of the target position represents the water level change of the edge of a river or a lake;
generating a first surface temperature map of the region to be detected based on the first remote sensing data, wherein the first surface temperature map is used for indicating the temperature of a subarea in the region to be detected at the first moment; generating a first initial region type map of the region to be detected based on the first remote sensing data; generating the first region type map of the region to be detected based on the first surface temperature map and the first initial region type map;
Generating a second surface temperature map of the region to be detected based on the second remote sensing data, wherein the second surface temperature map is used for indicating the temperature of a subarea in the region to be detected at the second moment; generating a second initial region type map of the region to be detected based on the second remote sensing data; generating a second region type map of the region to be detected based on the second surface temperature map and the second initial region type map;
based on the temperatures corresponding to the plurality of pixel points in the first surface temperature map, clustering the plurality of pixel points in the first surface temperature map, and randomly determining two pixel points in the first surface temperature map as two clustering centers in a first clustering process, wherein the two clustering centers are a first clustering center and a second clustering center respectively;
determining the distance between the temperatures corresponding to the pixel points in the first surface temperature map and the temperatures corresponding to the two clustering centers, and clustering the pixel points into a plurality of first clustering pixel points and a plurality of second clustering pixel points based on the distance;
based on a first average temperature and a second average temperature, adjusting the pixel points corresponding to the first clustering center and the pixel points corresponding to the second clustering center until clustering is completed, wherein the first average temperature is the average temperature of the temperatures corresponding to the first clustering pixels, and the second average temperature is the average temperature of the temperatures corresponding to the second clustering pixels;
On a first surface temperature map, marking a region corresponding to a first clustering pixel point as a first type sub-region, and marking a region corresponding to a second clustering pixel point as a second type sub-region;
generating a first region type map of the region to be detected based on the type indicated by the first surface temperature map and the type indicated by the first initial region type map;
clustering a plurality of pixel points by a K-means method, and calculating the distance between the temperature corresponding to the two clustering centers and the temperature corresponding to other pixel points by the following formula:
wherein d is the distance between the temperature corresponding to one cluster center and the temperature corresponding to other pixel points in the two cluster centers, and x c For the temperature corresponding to the cluster center, x i The temperature corresponding to other pixel points;
calculating a first average temperature of temperatures corresponding to all pixel points corresponding to the first clustering center through the following formula, and calculating a second average temperature of temperatures corresponding to all pixel points corresponding to the second clustering center:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the corresponding average temperature, x, of all pixel points corresponding to one cluster center of the two cluster centers 1 -x n The temperature is the temperature corresponding to each pixel point corresponding to one of the two cluster centers, and n is the number of the pixel points corresponding to the one of the two cluster centers.
2. The method of claim 1, wherein the first telemetry data includes a first near infrared reflectance and a first green wave reflectance;
the generating the first region type map based on the first remote sensing data includes:
determining a type of a subarea in the area to be detected based on the first near infrared ray reflectivity and the first green wave reflectivity; and generating the first region type diagram based on the types of the sub-regions in the region to be detected.
3. The method of claim 2, wherein the determining the type of sub-region within the region to be detected based on the first near infrared ray reflectivity and the first green wave reflectivity comprises:
subtracting the first green wave reflectivity and the first near infrared ray reflectivity of the subarea from each other for the subarea in the area to be detected to obtain a first parameter;
adding the first green wave reflectivity of the subarea and the first near infrared ray reflectivity to obtain a second parameter;
dividing the first parameter and the second parameter to obtain a third parameter;
and determining the type of the subarea in the area to be detected based on the relation between the third parameter and a preset parameter threshold value.
4. A method according to claim 3, wherein said determining the type of sub-region within the region to be detected based on the relation between the third parameter and a preset parameter threshold comprises:
determining the corresponding subarea type as a first type subarea in response to the third parameter being greater than or equal to the preset parameter threshold;
and determining the corresponding sub-region type as a second type sub-region in response to the third parameter being smaller than the preset parameter threshold.
5. The method of claim 4, wherein generating the first region type map based on the first telemetry data further comprises:
preprocessing the first remote sensing data, wherein the preprocessing comprises at least one of radiation calibration, orthographic correction, geometric correction and projection conversion;
and generating the first region type map based on the preprocessed first remote sensing data.
6. The method of claim 5, wherein the second telemetry data includes a second near infrared ray reflectivity and a second green wave reflectivity;
the generating the second region type map based on the second remote sensing data includes:
Determining a type of a subarea in the area to be detected based on the second near infrared ray reflectivity and the second green wave reflectivity; and generating the second region type map based on the types of the sub-regions in the region to be detected.
7. The method of claim 1, wherein determining a first elevation value for a first type of sub-region in the region to be detected in the first region type map based on the first digital elevation model comprises any one of:
determining a first edge coordinate of the first type subarea in the first area type graph; acquiring the first elevation value corresponding to the first edge coordinate from the first digital elevation model;
determining a plurality of first edge coordinates of the first type sub-region in the first region type map; acquiring a plurality of first candidate elevation values corresponding to the plurality of first edge coordinates from the first digital elevation model; an average of the plurality of first candidate elevation values is determined as the first elevation value.
8. A device for determining an altitude difference, the device being used for determining an altitude difference of a lake or river based on remote sensing data, comprising:
The device comprises an area type diagram acquisition module, a detection module and a detection module, wherein the area type diagram is used for acquiring an area type diagram of an area to be detected, and the area type diagram is used for indicating the area types of different positions in the area to be detected; the region type map comprises a first region type map and a second region type map, the first region type map is a region type map of the region to be detected at a first moment, and the second region type map is a region type map of the region to be detected at a second moment, wherein the first region type map is generated based on preprocessed first remote sensing data; the second region type map is generated based on the preprocessed second remote sensing data; the first region type diagram and the second region type diagram are used for reflecting the change condition of the region type of the region to be detected at a first moment and a second moment; the first remote sensing data and the second remote sensing data are acquired by a remote sensing detector positioned in the space; the region to be detected comprises a first type of sub-region and a second type of sub-region; the first type subareas are adopted to represent the areas where lakes or rivers are located, namely water areas; the second type subareas are adopted to represent land areas or vegetation areas, namely areas except water removal areas;
The digital elevation model acquisition module is used for acquiring a digital elevation model of the region to be detected, and the digital elevation model is used for indicating elevation values of different positions in the region to be detected; the digital elevation model comprises a first digital elevation model and a second digital elevation model; the first digital elevation model is a digital elevation model of the region to be detected at the first moment, and the second digital elevation model is a digital elevation model of the region to be detected at the second moment;
the elevation difference determining module is used for determining a target elevation difference based on the first area type diagram, the second area type diagram, the first digital elevation model and the second digital elevation model, wherein the target elevation difference is an elevation change value from the first moment to the second moment;
the region type map acquisition module is used for acquiring remote sensing data of the region to be detected, wherein the remote sensing data are used for indicating the reflectivities of rays in different wave bands in the region to be detected; the remote sensing data comprise first remote sensing data and second remote sensing data, the first remote sensing data are remote sensing data of the area to be detected at the first moment, and the second remote sensing data are remote sensing data of the area to be detected at the second moment; generating the first region type map based on the first remote sensing data, wherein the plurality of sub-regions are aggregated based on the types of the plurality of sub-regions at a first moment in the region to be detected to obtain the first region type map; generating a second region type map based on the second remote sensing data, wherein the plurality of sub-regions are aggregated based on the types of the plurality of sub-regions at a second moment in the region to be detected to obtain the second region type map, and after receiving a remote sensing data acquisition request, a remote sensing detector acquires the identification of the region to be detected from the remote sensing data acquisition request, and determines the position of the region to be detected based on the identification of the region to be detected; the remote sensing detector sends rays with different wave bands to the position of the region to be detected, and the reflectivity of the rays with different wave bands in the region to be detected is obtained; the remote sensing detector generates remote sensing data of the region to be detected based on the reflectivities of rays of different wave bands in the region to be detected;
The digital elevation model acquisition module is used for acquiring first elevation values of a plurality of position points in the region to be detected at the first moment; acquiring a first digital elevation model of the region to be detected based on first elevation values of the plurality of position points; acquiring second elevation values of a plurality of position points in the region to be detected at the second moment; acquiring a second digital elevation model of the region to be detected based on second elevation values of the plurality of position points;
the digital elevation model acquisition module is used for generating a first initial digital elevation model of the region to be detected at the first moment based on first elevation values of the plurality of position points; interpolation is carried out on the first initial digital elevation model, and the first digital elevation model is obtained;
the digital elevation model acquisition module is configured to set a target position point between two adjacent position points for any two adjacent position points in the first initial digital elevation model, determine a first weight corresponding to each position point in the two adjacent position points based on distances between the target position point and the two adjacent position points, multiply a first elevation value of each position point in the two adjacent position points with the corresponding first weight, and sum products corresponding to the two adjacent position points to obtain a first elevation value of the target position point, wherein the first weight is positively correlated with a distance from the target position point to the corresponding position point;
The elevation difference determining module is used for determining the first edge coordinates of a first type subarea in the first area type graph, and acquiring a first elevation value corresponding to the first edge coordinates from the first digital elevation model; determining a second edge coordinate of the first type subarea in the second area type diagram, and acquiring a second elevation value corresponding to the second edge coordinate from the second digital elevation model; the first elevation value corresponding to the first edge coordinate and the second elevation value corresponding to the second edge coordinate are differed to obtain a target elevation difference of the target position, and the target elevation difference of the target position represents the water level change of the edge of a river or a lake;
the region type map acquisition module is further configured to generate a first surface temperature map of the region to be detected based on the first remote sensing data, where the first surface temperature map is used to indicate a temperature of a sub-region in the region to be detected at the first moment; generating a first initial region type map of the region to be detected based on the first remote sensing data; generating the first region type map of the region to be detected based on the first surface temperature map and the first initial region type map; generating a second surface temperature map of the region to be detected based on the second remote sensing data, wherein the second surface temperature map is used for indicating the temperature of a subarea in the region to be detected at the second moment; generating a second initial region type map of the region to be detected based on the second remote sensing data; generating a second region type map of the region to be detected based on the second surface temperature map and the second initial region type map;
Based on the temperatures corresponding to the plurality of pixel points in the first surface temperature map, clustering the plurality of pixel points in the first surface temperature map, and randomly determining two pixel points in the first surface temperature map as two clustering centers in a first clustering process, wherein the two clustering centers are a first clustering center and a second clustering center respectively;
determining the distance between the temperatures corresponding to the pixel points in the first surface temperature map and the temperatures corresponding to the two clustering centers, and clustering the pixel points into a plurality of first clustering pixel points and a plurality of second clustering pixel points based on the distance;
based on a first average temperature and a second average temperature, adjusting the pixel points corresponding to the first clustering center and the pixel points corresponding to the second clustering center until clustering is completed, wherein the first average temperature is the average temperature of the temperatures corresponding to the first clustering pixels, and the second average temperature is the average temperature of the temperatures corresponding to the second clustering pixels;
on a first surface temperature map, marking a region corresponding to a first clustering pixel point as a first type sub-region, and marking a region corresponding to a second clustering pixel point as a second type sub-region;
generating a first region type map of the region to be detected based on the type indicated by the first surface temperature map and the type indicated by the first initial region type map;
Clustering a plurality of pixel points by a K-means method, and calculating the distance between the temperature corresponding to the two clustering centers and the temperature corresponding to other pixel points by the following formula:
wherein d is the distance between the temperature corresponding to one cluster center and the temperature corresponding to other pixel points in the two cluster centers, and x c For the temperature corresponding to the cluster center, x i The temperature corresponding to other pixel points;
calculating a first average temperature of temperatures corresponding to all pixel points corresponding to the first clustering center through the following formula, and calculating a second average temperature of temperatures corresponding to all pixel points corresponding to the second clustering center:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the corresponding average temperature, x, of all pixel points corresponding to one cluster center of the two cluster centers 1 -x n The temperature is the temperature corresponding to each pixel point corresponding to one of the two cluster centers, and n is the number of the pixel points corresponding to the one of the two cluster centers.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining an elevation difference according to any one of the preceding claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of determining an elevation difference according to any one of the preceding claims 1-7.
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