CN115205706A - Remote sensing data acquisition method and device, electronic equipment and computer readable medium - Google Patents
Remote sensing data acquisition method and device, electronic equipment and computer readable medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a method and a device for acquiring remote sensing data, electronic equipment and a computer readable medium. One embodiment of the method comprises: responding to a detected remote sensing data acquisition request of a target ship, and acquiring a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system; and obtaining at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set. The implementation mode ensures the objective effectiveness of obtaining the target ship information, and realizes that the remote sensing data of the target ship can be actively obtained without the need of sending information by the target ship.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of satellite remote sensing, in particular to a method and a device for acquiring remote sensing data, electronic equipment and a computer readable medium.
Background
The existing monitoring means for water transport logistics ships mainly depends on AIS (Automatic Identification System, automatic ship Identification System). The AIS is a novel navigation aid system suitable for information exchange of ships on water, and can be used for mutual identification between ships on the sea and between ships and a marine traffic management center. The AIS equipment may automatically provide information about the vessel, such as vessel identification, vessel type, position, heading, speed, voyage status, and related safety information, to the AIS equipped shore stations, other vessels, and aircraft. AIS has the following disadvantages:
1. for example, a ship owner is relatively passive when wanting to know the position of a ship on the sea, and needs an AIS on the ship to actively send signals such as a position signal, a navigational speed signal and a heading signal to an AIS system;
2. the existing AIS system cannot obtain image data, and only can obtain information such as text data and the like, for example, the heading, the speed and the position, and the like, but the information can be tampered;
3. when the ships densely and frequently send the AIS information, information blockage is easy to occur.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a computer-readable medium for obtaining remote sensing data, so as to solve the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for obtaining remote sensing data, including: responding to a detected remote sensing data acquisition request for a target ship, and acquiring a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system; and obtaining at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
In a second aspect, some embodiments of the present disclosure provide an apparatus for obtaining remote sensing data, the apparatus including: the remote sensing image acquisition unit is configured to respond to the detection of a remote sensing data acquisition request of a target ship and acquire a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system; and the target remote sensing data acquisition unit is configured to obtain at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following beneficial effects: the target remote sensing data of the target ship obtained by the remote sensing data acquisition method of some embodiments of the present disclosure has improved effectiveness. Specifically, the reason why the effectiveness of the target remote sensing data is not high is that: the existing mode for acquiring the position of the ship is passive, the information such as longitude and latitude information, course and the like of the ship can be acquired only by actively sending ship information by an AIS terminal on the ship, and the information acquired by an AIS system may be inaccurate, even the AIS system cannot acquire the information in time. Based on this, the remote sensing data acquisition method of some embodiments of the present disclosure acquires a corresponding remote sensing image set through a preset remote sensing digital twin system after detecting a remote sensing data acquisition request for a target ship. The remote sensing digital twin system can represent information such as a real-time running state of a remote sensing satellite, a real-time navigation state of a target ship and the like, and objective effectiveness of obtaining target ship information is guaranteed; and then, at least one piece of target remote sensing data corresponding to the target ship is obtained based on the remote sensing image set, so that the remote sensing data of the target ship can be actively obtained without the target ship sending information.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of an application scenario of a remote sensing data acquisition method of some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of a method of remote sensing data acquisition according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of a method of remote sensing data acquisition according to the present disclosure;
FIG. 4 is a flow diagram of some embodiments of a method of constructing a remote sensing digital twin system according to the present disclosure;
FIG. 5 is an image of an area of a digital elevation map;
FIG. 6 is a region model obtained by modeling the region image of FIG. 5;
FIG. 7 is an Earth's digital twinning scenario of the present application;
FIG. 8 is a characteristic diagram of the corresponding region of FIG. 5;
FIG. 9 is a schematic block diagram of some embodiments of a telemetry data acquisition apparatus according to the present disclosure;
FIG. 10 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and the embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
FIG. 1 is a schematic diagram of an application scenario of a method of remote sensing data acquisition according to some embodiments of the present disclosure.
As shown in fig. 1, the interface of the server running the remote sensing digital twin system comprises an option page and a remote sensing image displayed in real time. The option page may include target selection, image selection, satellite selection, time selection, and the like. Each option further comprises a plurality of sub-options, such as province selection, city selection and the like. The remote sensing image may comprise a plurality of remote sensing satellite-covered remote sensing areas and corresponding flight orbits of the remote sensing images. The user can set a remote sensing data acquisition request of the target ship through a plurality of options. After the server acquires the remote sensing data acquisition request, the remote sensing image set of the target ship can be acquired through the remote sensing digital twin system. And then, the server can analyze the remote sensing image set so as to obtain at least one piece of target remote sensing data corresponding to the target ship. The target remote sensing data may be, for example: longitude and latitude information, course information, navigational speed information and the like of the target ship. Compared with the existing method for acquiring the ship information, the remote sensing data of the target ship can be actively acquired through the remote sensing digital twin system, the target ship does not provide longitude and latitude information and the like through the AIS terminal on the ship, the problem that the ship information cannot be inquired due to the AIS terminal fault and the like is avoided, and the efficiency of acquiring the target ship information is improved; meanwhile, the target remote sensing data can avoid the situation that the information sent by the AIS terminal is filled with errors or falsified, and objective authenticity of the target remote sensing data is guaranteed. In addition, the coverage area of the remote sensing satellite is large enough, a large amount of ship information can be detected simultaneously, and information blockage is not easy to occur.
It should be understood that the number of servers in fig. 1 is merely illustrative. There may be any number of servers, as desired for the implementation.
With continued reference to FIG. 2, FIG. 2 illustrates a flow 200 of some embodiments of a method of remote sensing data acquisition according to the present disclosure. The method for acquiring the remote sensing data comprises the following steps:
In some embodiments, an executing entity of the method for obtaining remote sensing data (for example, a server in an application scenario corresponding to fig. 1) may obtain a remote sensing data obtaining request of a target ship through a wired connection manner or a wireless connection manner. For example, a user or a technician may input at least one item of information corresponding to a target vessel through an item page of the server interface in fig. 1, and then send the information to the execution subject after confirmation. After the at least one option information corresponding to the remote sensing data acquisition request is acquired, the execution main body can inquire the target ship based on each option information to obtain a remote sensing image set of the target ship. The remote sensing image set can be a remote sensing image obtained after a remote sensing satellite queries a target ship.
And 202, obtaining at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
In some embodiments, the execution subject may perform operations such as region division, amplification, image recognition and the like on each remote sensing image in the remote sensing image set, so as to obtain an image of the target ship; and then sequencing the target ship images in each remote sensing image according to the time sequence, and determining the target remote sensing information such as the course, the navigational speed and the like of the target ship according to the longitude and latitude information of the sequenced target images.
According to the target remote sensing data of the target ship obtained by the remote sensing data obtaining method disclosed by some embodiments of the disclosure, the effectiveness of the target remote sensing data is improved to some extent. Specifically, the reason why the validity of the target remote sensing data is not high is that: the existing mode for acquiring the position of the ship is passive, the information such as longitude and latitude information, course and the like of the ship can be acquired only by actively sending ship information through an AIS terminal on the ship, and the information acquired by an AIS system is possibly inaccurate, even the AIS system cannot acquire the information in time. Based on this, the remote sensing data acquisition method of some embodiments of the present disclosure acquires a corresponding remote sensing image set through a preset remote sensing digital twin system after detecting a remote sensing data acquisition request for a target ship. The remote sensing digital twin system can represent information such as a real-time running state of a remote sensing satellite, a real-time navigation state of a target ship and the like, and objective effectiveness of obtaining target ship information is guaranteed; and then, at least one piece of target remote sensing data corresponding to the target ship is obtained based on the remote sensing image set, so that the remote sensing data of the target ship can be actively obtained without the target ship sending information.
With further reference to FIG. 3, a flow 300 of further embodiments of a method of remote sensing data acquisition is illustrated. The process 300 of the method for obtaining remote sensing data comprises the following steps:
In some embodiments, after detecting a remote sensing data acquisition request of a target ship, an executing subject (e.g., a server in an application scenario corresponding to fig. 1) may determine, through the remote sensing data acquisition request, at least one piece of target remote sensing satellite information corresponding to the target ship. For example, the remote sensing data acquisition request may include province information and city information of the target ship. The executing subject may determine corresponding at least one target remote sensing satellite information based on the provincial information and the city information. The target remote sensing satellite information can be the XX series remote sensing satellite in FIG. 1.
In some optional implementation manners of some embodiments, the determining, based on the remote sensing data acquisition request, at least one piece of target remote sensing satellite information corresponding to the target ship includes:
the method comprises the steps of firstly, obtaining initial remote sensing satellite information of each initial remote sensing satellite in the at least one initial remote sensing satellite corresponding to the remote sensing digital twin system.
The executing entity may first obtain initial telemetry satellite information for each initial telemetry satellite. Wherein, the initial remote sensing satellite information may include at least one of the following: the track of the initial remote sensing satellite, the resolution of the remote sensing image of the initial remote sensing satellite, the coverage rate of the remote sensing image and the speed of the initial remote sensing satellite.
And secondly, determining at least one piece of target remote sensing satellite information corresponding to the target ship according to the task information contained in the remote sensing data acquisition request and the at least one piece of initial remote sensing satellite information.
The remote sensing data acquisition request comprises task information corresponding to the target ship, the task information is used for indicating that a target remote sensing image of the target ship is acquired according to preset conditions, and the task information comprises at least one of the following items: the target remote sensing image obtaining time and the target remote sensing image resolution. The execution main body can be matched with at least one target remote sensing satellite information of the corresponding target ship according to the task information. For example, the executing body may determine at least one remote sensing satellite corresponding to the target remote sensing image acquisition time and the target remote sensing image resolution of the target ship from at least one initial remote sensing satellite.
And 302, for target remote sensing satellite information in the at least one piece of target remote sensing satellite information, obtaining remote sensing image data of the target ship through a target remote sensing satellite corresponding to the target remote sensing satellite information.
In some embodiments, the executing subject may obtain a target remote sensing satellite corresponding to each piece of target remote sensing satellite information to obtain remote sensing image data of the target ship.
And 303, acquiring at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
The content of step 303 is the same as that of step 202, and is not described in detail here.
And 304, importing the at least one piece of target remote sensing data into a pre-trained track prediction model to obtain at least one piece of target predicted remote sensing data corresponding to the target ship.
In some embodiments, the executing subject may further predict at least one target remote sensing data of the target ship according to at least one target remote sensing data of the target ship obtained in the prior art. Specifically, the executing body may import at least one piece of target remote sensing data into a pre-trained trajectory prediction model to obtain at least one piece of target predicted remote sensing data corresponding to the target ship. The track prediction model is used for predicting the remote sensing data of the ship in future time according to the current remote sensing data of the ship.
In some optional implementations of some embodiments, the trajectory prediction model is trained by:
the method comprises the following steps of firstly, obtaining at least one group of sample information corresponding to at least one sample ship in the sample ships.
The execution subject first needs to acquire at least one set of sample information corresponding to each sample vessel. The sample information includes sample input information and sample output information. The sample input information may be a remote sensing image of the sample ship at a certain moment, and the sample output information may be a remote sensing image of the sample ship at a next moment corresponding to the certain moment.
And secondly, taking the sample input information of each group of sample information in the plurality of groups of sample information as input, taking the sample output information of the corresponding sample input information of each group of sample information in the plurality of groups of sample information as output, and training to obtain the track prediction model.
The executing agent may use various existing models (e.g., a deep learning model, a regression model, etc.), train the sample input information of each set of sample information in the multiple sets of sample information as input, and the sample output information of the corresponding sample input information of each set of sample information in the multiple sets of sample information as output, and obtain the trajectory prediction model.
In some optional implementation manners of some embodiments, the obtaining at least one set of sample information corresponding to the sample ship may include:
the method comprises the following steps of firstly, selecting at least one initial sample remote sensing image from the remote sensing images of the sample ship.
The execution subject can select a plurality of initial sample remote sensing images with coherent navigation tracks and no interference from a plurality of remote sensing images of the sample ship.
And secondly, obtaining at least one piece of initial sample remote sensing information from the at least one initial sample remote sensing image to obtain an initial sample remote sensing information sequence.
And then, the execution subject can further analyze each initial sample remote sensing image to obtain initial sample remote sensing information. Wherein, the initial sample remote sensing information may include at least one of the following: longitude and latitude of the sample ship, navigation direction of the sample ship and navigation speed of the sample ship. And then, sequencing at least one piece of initial sample remote sensing information by the execution main body according to the time sequence to obtain an initial sample remote sensing information sequence. The initial sample remote sensing information in the initial sample remote sensing information sequence can be obtained at the same time interval.
And thirdly, taking the previous piece of initial sample remote sensing information in two adjacent pieces of initial sample remote sensing information in the initial sample remote sensing information sequence as sample input information, and taking the next piece of initial sample remote sensing information in the two adjacent pieces of initial sample remote sensing information as sample output information.
Then, the execution subject may use the former initial sample remote sensing information of two adjacent initial sample remote sensing information in the initial sample remote sensing information sequence as sample input information, and the latter initial sample remote sensing information as sample output information.
With further reference to FIG. 4, a flow 400 of some embodiments of a method of constructing a remote sensing digital twin system is illustrated. The flow 400 of the construction method of the remote sensing digital twin system comprises the following steps:
and step 401, constructing a terrestrial digital twin scene.
In some embodiments, the performing subject may first construct a terrestrial digital twin scene. The terrestrial digital twin scene can represent the real-time running state of the remote sensing satellite and the real-time navigation state of the ship. Wherein the terrestrial digital twin scene comprises at least one of the following parameters: terrain parameters, environmental parameters, remote sensing satellite parameters.
In some optional implementations of some embodiments, the constructing the terrestrial digital twin scene may include the following steps:
the method comprises the steps of firstly, carrying out area division and area position calibration on an initial earth three-dimensional model through a digital elevation map to obtain at least one area information.
Fig. 5 is an area image of a digital elevation map, and the executing subject may first perform area division and area location calibration on the initial three-dimensional model of the earth through the digital elevation map to obtain at least one area information. The digital elevation map is an important original data for researching and analyzing terrain, drainage basin and ground feature identification. Because the digital elevation map can reflect local topographic features with certain resolution, a large amount of surface morphological information can be extracted through the digital elevation map, and the digital elevation map can be used for drawing contour lines, gradient maps, slope maps, three-dimensional perspective views and three-dimensional landscape maps and is applied to the production of orthographic images, three-dimensional topographic models and topographic map repairing and measuring. The corresponding area information may be latitude and longitude information of an area, altitude information of each position of an area, relative position information of each object within an area, and the like.
And secondly, constructing a region model of each region information in the at least one region information.
After obtaining the region information, the execution body may construct a region model for each region information. Fig. 6 shows a region model obtained by modeling each building and tank body in fig. 5.
And thirdly, combining at least one region model corresponding to the at least one region information to obtain the digital three-dimensional model of the earth.
The execution subject can combine at least one region model according to the mutual position relation of each region to obtain the earth digital three-dimensional model.
And fourthly, adding remote sensing satellite information on the basis of the earth digital three-dimensional model to obtain the earth digital twin scene.
The execution main body can add remote sensing satellite information on the basis of the earth digital three-dimensional model, and the remote sensing satellite information can be the number of a remote sensing satellite, such as 'first high score', 'fifth high score', 'sixth high score', 'ninth high score' and the like in fig. 7. In this way, the above-described terrestrial digital twin scene is obtained, as shown in fig. 7. Wherein, the remote sensing satellite information comprises at least one of the following items: the remote sensing satellite three-dimensional model, the remote sensing satellite longitude, the remote sensing satellite latitude, the remote sensing satellite height, the remote sensing satellite flight direction and the remote sensing satellite running track.
In some optional implementation manners of some embodiments, the constructing a region model of each of the at least one region information may include the following steps:
the first step is that for the regional information in the at least one piece of regional information, a characteristic diagram of a region corresponding to the regional information is identified and extracted through a remote sensing satellite map corresponding to the regional information.
The execution subject can identify and extract a feature map of a region corresponding to the region information by remotely sensing the satellite map, as shown in fig. 8. Wherein the characteristic diagram comprises at least one of: location features, object features.
And secondly, constructing a region model of a region corresponding to each region information based on the feature map.
After obtaining the feature maps of the regions corresponding to the region information, the execution subject may construct a region model of each region corresponding to the region information through the feature maps, as shown in fig. 6.
And 402, acquiring at least one item of parameter real-time data of the terrestrial digital twin scene.
After the earth digital twin scene is obtained, the executive body can obtain at least one item of parameter real-time data in the earth digital twin scene. The parameter real-time data can comprise real-time data of remote sensing satellite information such as the remote sensing satellite three-dimensional model, the remote sensing satellite longitude, the remote sensing satellite latitude, the remote sensing satellite altitude, the remote sensing satellite flight direction, the remote sensing satellite running track and the like, weather real-time data, real-time data such as the longitude and latitude of a target ship and the like.
And 403, adjusting corresponding parameters in the terrestrial digital twin scene in real time based on the at least one item of parameter real-time data to obtain the remote sensing digital twin system.
And finally, the executive body adjusts the corresponding parameters in the earth digital twin scene in real time through at least one item of parameter real-time data to obtain the remote sensing digital twin system. Therefore, various information such as remote sensing satellites, ships, weather and the like can be represented dynamically in real time through the remote sensing digital twin system.
With further reference to fig. 9, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a remote sensing data acquisition apparatus, which correspond to those shown in fig. 2, and which may be applied in various electronic devices.
As shown in fig. 9, the remote sensing data acquisition apparatus 900 according to some embodiments includes: a remote sensing image acquisition unit 901 and a target remote sensing data acquisition unit 902. The remote sensing image acquisition unit 901 is configured to respond to the detection of a remote sensing data acquisition request for a target ship, and acquire a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system; a target remote sensing data obtaining unit 902 configured to obtain at least one piece of target remote sensing data corresponding to the target ship based on the set of remote sensing images.
In an optional implementation manner of some embodiments, the remote sensing data obtaining apparatus 900 further includes a remote sensing digital twin system constructing unit (not shown in the figure) configured to construct a remote sensing digital twin system, where the remote sensing digital twin system constructing unit includes: the system comprises an earth digital twin scene construction subunit (not shown in the figure), a parameter real-time data acquisition subunit (not shown in the figure) and a remote sensing digital twin system construction subunit (not shown in the figure). Wherein the terrestrial digital twin scene constructing subunit is configured to construct a terrestrial digital twin scene, the terrestrial digital twin scene comprising at least one of the following parameters: terrain parameters, environment parameters, remote sensing satellite parameters; a parameter real-time data acquisition subunit configured to acquire at least one item of parameter real-time data of the terrestrial digital twin scene; and the remote sensing digital twin system construction subunit is configured to adjust corresponding parameters in the earth digital twin scene in real time based on the at least one item of parameter real-time data to obtain the remote sensing digital twin system.
In an optional implementation manner of some embodiments, the above-mentioned terrestrial digital twin scene constructing subunit may include: the system comprises a region information acquisition module (not shown in the figure), a region model construction module (not shown in the figure), a terrestrial digital three-dimensional model acquisition module (not shown in the figure) and a terrestrial digital twin scene acquisition module (not shown in the figure). The system comprises an area information acquisition module, a data processing module and a data processing module, wherein the area information acquisition module is configured to perform area division and area position calibration on an initial earth three-dimensional model through a digital elevation map to obtain at least one area information; a region model construction module configured to construct a region model of each of the at least one region information; the earth digital three-dimensional model acquisition module is configured to combine at least one region model corresponding to the at least one region information to obtain an earth digital three-dimensional model; the earth digital twin scene acquisition module is configured to add remote sensing satellite information to obtain the earth digital twin scene on the basis of the earth digital three-dimensional model, wherein the remote sensing satellite information comprises at least one of the following items: the remote sensing satellite three-dimensional model, the remote sensing satellite longitude, the remote sensing satellite latitude, the remote sensing satellite height, the remote sensing satellite flight direction and the remote sensing satellite running track.
In an optional implementation manner of some embodiments, the region model building module may include: a feature map acquisition sub-module (not shown) and a region model construction sub-module (not shown). The feature map acquisition sub-module is configured to, for area information in the at least one piece of area information, identify and extract a feature map of an area corresponding to the area information through a remote sensing satellite map corresponding to the area information, where the feature map includes at least one of: location features, object features; and the region model construction sub-module is configured to construct a region model of the region corresponding to each region information based on the feature map.
In an optional implementation manner of some embodiments, the remote sensing image obtaining unit 901 may include: a target remote sensing satellite information determining subunit (not shown in the figure) and a remote sensing image data acquiring subunit (not shown in the figure). The target remote sensing satellite information determining subunit is configured to determine at least one piece of target remote sensing satellite information corresponding to the target ship based on the remote sensing data acquisition request; and a remote sensing image data obtaining subunit configured to, for target remote sensing satellite information in the at least one piece of target remote sensing satellite information, obtain remote sensing image data of the target ship through a target remote sensing satellite corresponding to the target remote sensing satellite information.
In an optional implementation manner of some embodiments, the remote sensing data obtaining request includes task information corresponding to the target ship, where the task information is used to instruct obtaining of a target remote sensing image of the target ship according to a preset condition, and the task information includes at least one of: acquiring time and resolution of a target remote sensing image; and, the target remote sensing satellite information determining subunit may include: an initial remote sensing satellite information acquisition module (not shown in the figure) and a target remote sensing satellite information determination module (not shown in the figure). Wherein, the initial remote sensing satellite information obtaining module is configured to obtain initial remote sensing satellite information of each initial remote sensing satellite in the at least one initial remote sensing satellite corresponding to the remote sensing digital twin system, and the initial remote sensing satellite information includes at least one of the following: the method comprises the following steps of (1) determining a track of an initial remote sensing satellite, the resolution ratio of a remote sensing image of the initial remote sensing satellite, the coverage rate of the remote sensing image and the speed of the initial remote sensing satellite; and the target remote sensing satellite information determining module is configured to determine at least one piece of target remote sensing satellite information corresponding to the target ship according to the task information contained in the remote sensing data acquisition request and the at least one piece of initial remote sensing satellite information.
In an optional implementation manner of some embodiments, the remote sensing data obtaining apparatus 900 further includes: and a target prediction remote sensing data acquisition unit (not shown in the figure) configured to import the at least one piece of target remote sensing data into a pre-trained track prediction model to obtain at least one piece of target prediction remote sensing data corresponding to the target ship.
In an optional implementation manner of some embodiments, the remote sensing data obtaining apparatus 900 further includes a trajectory prediction model building unit (not shown in the figure) configured to build a trajectory prediction model, and the trajectory prediction model building unit may include: a sample information acquisition sub-unit (not shown in the figure) and a trajectory prediction model training sub-unit (not shown in the figure). The system comprises a sample information acquisition subunit and a data processing subunit, wherein the sample information acquisition subunit is configured to acquire at least one set of sample information corresponding to a sample ship in the at least one sample ship, and the sample information comprises sample input information and sample output information; and a trajectory prediction model training subunit configured to train the trajectory prediction model by taking as input sample input information of each of the sets of sample information and taking as output sample output information of corresponding sample input information of each of the sets of sample information.
In an optional implementation manner of some embodiments, the sample information obtaining subunit may include: the system comprises an initial sample remote sensing image acquisition module (not shown in the figure), an initial sample remote sensing information sequence acquisition module (not shown in the figure) and a sample information determination module (not shown in the figure). The system comprises an initial sample remote sensing image acquisition module, a remote sensing image acquisition module and a remote sensing image acquisition module, wherein the initial sample remote sensing image acquisition module is configured to select at least one initial sample remote sensing image from the remote sensing images of the sample ship; an initial sample remote sensing information sequence obtaining module configured to obtain at least one piece of initial sample remote sensing information from the at least one initial sample remote sensing image to obtain an initial sample remote sensing information sequence, where the initial sample remote sensing information includes at least one of: longitude and latitude of the sample ship, navigation direction of the sample ship and navigation speed of the sample ship; and the sample information determining module is configured to take the previous piece of initial sample remote sensing information in two adjacent pieces of initial sample remote sensing information in the initial sample remote sensing information sequence as sample input information, and take the next piece of initial sample remote sensing information in the two adjacent pieces of initial sample remote sensing information as sample output information.
It will be understood that the elements described in the apparatus 900 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and advantages described above with respect to the method are also applicable to the apparatus 900 and the units included therein, and are not described herein again.
As shown in fig. 10, the electronic device 1000 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 1001 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage means 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for the operation of the electronic apparatus 1000 are also stored. The processing device 1001, the ROM 1002, and the RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
Generally, the following devices may be connected to the I/O interface 1005: input devices 1006 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 1007 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 1008 including, for example, magnetic tape, hard disk, and the like; and a communication device 1009. The communications apparatus 1009 may allow the electronic device 1000 to communicate wirelessly or by wire with other devices to exchange data. While fig. 10 illustrates an electronic device 1000 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 10 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some 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 illustrated by the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 1009, or installed from the storage device 1008, or installed from the ROM 1002. The computer program, when executed by the processing device 1001, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 some embodiments of the 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 some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. 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 thereof. 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, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled 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: responding to a detected remote sensing data acquisition request of a target ship, and acquiring a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system; and obtaining at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of 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 latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart 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 described in some embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, which may be described as: a processor includes a remote sensing image acquisition unit and a target remote sensing data acquisition unit. Here, the names of these units do not constitute a limitation to the unit itself in some cases, and for example, the target remote sensing data acquisition unit may also be described as "a unit for acquiring target remote sensing data".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) the features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A remote sensing data acquisition method comprises the following steps:
responding to a detected remote sensing data acquisition request of a target ship, and acquiring a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system;
and obtaining at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
2. The method of claim 1, wherein the remote sensing digital twinning system is constructed by:
constructing a terrestrial digital twinning scene, wherein the terrestrial digital twinning scene comprises at least one of the following parameters: topographic parameters, environmental parameters, remote sensing satellite parameters;
acquiring at least one item of parameter real-time data of the terrestrial digital twin scene;
and adjusting corresponding parameters in the earth digital twin scene in real time based on the at least one item of parameter real-time data to obtain the remote sensing digital twin system.
3. The method of claim 1, wherein the method further comprises:
and importing the at least one piece of target remote sensing data into a pre-trained track prediction model to obtain at least one piece of target prediction remote sensing data corresponding to the target ship.
4. The method of claim 3, wherein the trajectory prediction model is trained by:
for a sample ship in at least one sample ship, acquiring at least one group of sample information corresponding to the sample ship, wherein the sample information comprises sample input information and sample output information;
and taking the sample input information of each group of sample information in the multiple groups of sample information as input, taking the sample output information of the corresponding sample input information of each group of sample information in the multiple groups of sample information as output, and training to obtain the track prediction model.
5. A remote sensing data acquisition apparatus comprising:
the remote sensing image acquisition unit is configured to respond to the detection of a remote sensing data acquisition request of a target ship and acquire a remote sensing image set corresponding to the target ship through a preset remote sensing digital twin system;
and the target remote sensing data acquisition unit is configured to obtain at least one piece of target remote sensing data corresponding to the target ship based on the remote sensing image set.
6. The apparatus of claim 5, wherein the apparatus further comprises a remote sensing digital twinning system construction unit configured to construct a remote sensing digital twinning system, the remote sensing digital twinning system construction unit comprising:
an earth digital twin scene constructing subunit configured to construct an earth digital twin scene, the earth digital twin scene comprising at least one of the following parameters: topographic parameters, environmental parameters, remote sensing satellite parameters;
a parameter real-time data acquisition subunit configured to acquire at least one item of parameter real-time data of the terrestrial digital twin scene;
and the remote sensing digital twin system construction subunit is configured to adjust corresponding parameters in the earth digital twin scene in real time based on the at least one item of parameter real-time data to obtain the remote sensing digital twin system.
7. The apparatus of claim 5, wherein the apparatus further comprises:
and the target prediction remote sensing data acquisition unit is configured to import the at least one piece of target remote sensing data into a pre-trained track prediction model to obtain at least one piece of target prediction remote sensing data corresponding to the target ship.
8. The apparatus of claim 7, wherein the apparatus further comprises a trajectory prediction model construction unit configured to construct a trajectory prediction model, the trajectory prediction model construction unit comprising:
the system comprises a sample information acquisition subunit and a data processing subunit, wherein the sample information acquisition subunit is configured to acquire at least one set of sample information corresponding to a sample ship in the at least one sample ship, and the sample information comprises sample input information and sample output information;
and the trajectory prediction model training subunit is configured to train to obtain the trajectory prediction model by taking the sample input information of each group of sample information in the plurality of groups of sample information as input and taking the sample output information of the corresponding sample input information of each group of sample information in the plurality of groups of sample information as output.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-4.
10. A computer-readable medium, on which a computer program is stored which, when executed by a processor, carries out the method of any one of claims 1 to 4.
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