CN115112100A - Remote sensing control system and method - Google Patents
Remote sensing control system and method Download PDFInfo
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- CN115112100A CN115112100A CN202210722902.0A CN202210722902A CN115112100A CN 115112100 A CN115112100 A CN 115112100A CN 202210722902 A CN202210722902 A CN 202210722902A CN 115112100 A CN115112100 A CN 115112100A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
- G01C11/30—Interpretation of pictures by triangulation
- G01C11/34—Aerial triangulation
Abstract
The invention discloses a remote sensing control system and method, and belongs to the technical field of remote sensing control. According to the invention, when a data acquisition instruction is received, an acquisition range is obtained based on the data acquisition instruction; adjusting the flight state and direction according to the acquisition range; acquiring disaster area remote sensing image data according to the adjusted flight state and direction; carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map; obtaining disaster position information according to the digital orthophoto map; disaster monitoring and analysis are carried out based on the disaster position information, and by means of the method, the disaster information can be rapidly and accurately collected, and processing efficiency when a disaster occurs is improved.
Description
Technical Field
The invention relates to the technical field of remote sensing control, in particular to a remote sensing control system and method.
Background
The remote sensing technology can quickly receive a large amount of information related to disasters in a transmission way, can identify the types, the spatial positions and the like of ground objects through various means, and wins a large amount of time for disaster monitoring
The existing method for processing the collected disaster information by utilizing remote sensing control is low in efficiency and not accurate enough. The specific information of the disaster can not be known in real time, so that the personnel safety can not be ensured.
Disclosure of Invention
The invention mainly aims to provide a remote sensing control system and a remote sensing control method, and aims to solve the technical problem that the disaster information processing efficiency of remote sensing control in the prior art is low.
In order to achieve the above object, the present invention provides a remote sensing control method, comprising the steps of:
when a data acquisition instruction is received, acquiring an acquisition range based on the data acquisition instruction;
adjusting the flight state and direction according to the acquisition range;
acquiring disaster area remote sensing image data according to the adjusted flight state and direction;
carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map;
obtaining disaster position information according to the digital orthophoto map;
and carrying out disaster monitoring and analysis based on the disaster position information.
Optionally, the data processing of the disaster area remote sensing image data to obtain a digital orthophoto map includes:
acquiring reference data and types of the disaster area remote sensing image data according to the disaster area remote sensing image data;
carrying out format conversion on the disaster area remote sensing image data to obtain target disaster area remote sensing image data;
and carrying out pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map.
Optionally, the pixel correction processing is performed on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map, which includes:
when the disaster area remote sensing image data type is aerial photo disaster area image data, acquiring photographic attitude data, analyzing aerial triangulation results and digital elevation model data according to the reference data;
establishing an initial model based on the photographic attitude data and the resolved aerial triangulation results;
training the initial model based on the digital elevation model data to obtain a digital elevation model;
detecting the remote sensing image data of the target disaster area through the digital elevation model to obtain the projection difference of each remote sensing image data pixel;
correcting the projection difference of each remote sensing image data pixel to obtain corrected remote sensing image data;
and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
Optionally, the pixel correction processing is performed on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map, which includes:
when the type of the remote sensing image data of the disaster area is satellite image data, obtaining digital elevation model data according to the reference data;
performing single-chip digital differential correction on the target disaster area remote sensing image data based on the digital elevation model data to obtain corrected remote sensing image data;
and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
Optionally, the obtaining disaster location information according to the digital orthophoto map includes:
acquiring a plurality of images of the digital orthophoto map;
extracting the features of the multiple images through a feature extraction model to obtain extracted features;
performing feature fusion on the extracted features to obtain fusion features;
and comparing the fusion characteristics with preset characteristic information to obtain disaster position information.
Optionally, after obtaining the disaster location information according to the digital orthophoto map, the method further includes:
acquiring reference data;
calculating a distance correction number according to the reference data and the disaster position information;
and correcting the disaster position information through the distance correction number to obtain target disaster position information.
Optionally, when a data acquisition instruction is received, obtaining an acquisition range based on the data acquisition instruction includes:
when a data acquisition instruction is received, analyzing the data acquisition instruction;
when the data acquisition instruction is a first range data acquisition instruction, obtaining a first acquisition range;
when the data acquisition instruction is a second range data acquisition instruction, obtaining a second acquisition range;
when the data acquisition instruction is a third range data acquisition instruction, obtaining a third acquisition range;
taking the first acquisition range, the second acquisition range and the third acquisition range as acquisition ranges.
In addition, in order to achieve the above object, the present invention further provides a remote sensing control system, including:
the receiving module is used for obtaining an acquisition range based on a data acquisition instruction when the data acquisition instruction is received;
the adjusting module is used for adjusting the flight state and direction according to the acquisition range;
the acquisition module is used for acquiring disaster area remote sensing image data according to the adjusted flight state and direction;
the processing module is used for carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map;
the acquisition module is used for acquiring disaster position information according to the digital orthophoto map;
and the analysis module is used for carrying out disaster monitoring and analysis based on the disaster position information.
In addition, to achieve the above object, the present invention also provides a remote sensing control apparatus including: a memory, a processor and a telemetry control program stored on the memory and executable on the processor, the telemetry control program configured to implement the steps of the telemetry control method as described above.
Furthermore, to achieve the above object, the present invention further provides a storage medium having stored thereon a remote sensing control program, which when executed by a processor, implements the steps of the remote sensing control method as described above.
According to the invention, when a data acquisition instruction is received, an acquisition range is obtained based on the data acquisition instruction; adjusting the flight state and direction according to the acquisition range; acquiring disaster area remote sensing image data according to the adjusted flight state and direction; carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map; obtaining disaster position information according to the digital orthophoto map; based on disaster position information carries out disaster monitoring and analysis, through above-mentioned mode, can gather disaster information fast accurately, improve the treatment effeciency when the calamity takes place.
Drawings
FIG. 1 is a schematic structural diagram of a remote sensing control device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a remote sensing control method according to a first embodiment of the present invention;
3a-3b are effect diagrams of disaster area remote sensing image data and a digital orthophoto map according to an embodiment of the remote sensing control method of the present invention;
FIG. 4 is a schematic flow chart diagram of a remote sensing control method according to a second embodiment of the present invention;
FIG. 5 is a schematic flow chart of a remote sensing control method according to a third embodiment of the present invention;
fig. 6 is a block diagram showing the configuration of the remote sensing control system according to the first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a remote sensing control device of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the remote sensing control apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the telemetry control device, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a remote sensing control program.
In the remote sensing control apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the remote sensing control device of the present invention may be provided in the remote sensing control device, and the remote sensing control device calls the remote sensing control program stored in the memory 1005 through the processor 1001 and executes the remote sensing control method provided by the embodiment of the present invention.
An embodiment of the present invention provides a remote sensing control method, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the remote sensing control method of the present invention.
In this embodiment, the remote sensing control method includes the following steps:
step S10: and when a data acquisition instruction is received, acquiring an acquisition range based on the data acquisition instruction.
It should be noted that, the execution subject of the embodiment is a remote sensing control system, and remote sensing control is performed by the remote sensing control system, and the embodiment is not limited thereto, and the embodiment takes the remote sensing control system as an example for description.
In this embodiment, the data acquisition instruction is an acquisition instruction for acquiring disaster area remote sensing image data, the data acquisition instruction includes position information, such as longitude and latitude information, height information, and the like, for acquiring the disaster area remote sensing image data, and the range of the disaster area remote sensing image data to be acquired can be determined by analyzing the data acquisition instruction to obtain the acquisition range.
Specifically, when a data acquisition instruction is received, the step of obtaining an acquisition range based on the data acquisition instruction specifically includes: when a data acquisition instruction is received, analyzing the data acquisition instruction; when the data acquisition instruction is a first range data acquisition instruction, obtaining a first acquisition range; when the data acquisition instruction is a second range data acquisition instruction, obtaining a second acquisition range; when the data acquisition instruction is a third range data acquisition instruction, obtaining a third acquisition range; and taking the first acquisition range, the second acquisition range and the third acquisition range as acquisition ranges.
It should be understood that the first range is greater than the second range, the second range is greater than the third range, the first collection range refers to a large-scale geological disaster data collection range, for example, 300 km, 100 km, and the like, which is not limited in this embodiment, and for the data collection in the first range, the data collection may be performed by space remote sensing. The second acquisition range refers to a large geological disaster data acquisition range of the disaster area, for example, 80 kilometers, 60 kilometers, and the like, which is not limited in this embodiment, and for data acquisition in the second range, high-altitude aerial remote sensing or hollow aerial remote sensing may be adopted for acquisition. The third range refers to a small-range geological disaster data acquisition range, for example, 20 kilometers, 10 kilometers, and the like, which is not limited in this embodiment, and for the data acquisition in the third range, the data acquisition can be acquired by remote sensing of a low altitude unmanned aerial vehicle.
Step S20: and adjusting the flight state and direction according to the acquisition range.
In this embodiment, after obtaining the acquisition range according to the data acquisition instruction, can adjust the direction of the aerial camera in aerial remote sensing or unmanned aerial vehicle remote sensing and the flight state of aerial or unmanned aerial vehicle according to specific acquisition range, shoot or wait shoot equidistantly through adjusting the flight state. The aerial camera can adopt a CCD (Charge coupled Device) camera, the direction of the camera is adjusted by controlling a stabilizing tripod head in unmanned aerial vehicle remote sensing or aerial remote sensing, the stabilizing tripod head is provided with a roll angle motor, a pitch angle motor and a course angle motor, and the stabilizing tripod head is kept in a horizontal or vertical state by controlling the pitch angle, the roll angle and the course angle of a remote sensing sensor through controlling the motors, so that the flight state and the direction of a corresponding acquisition range are obtained.
Step S30: and acquiring disaster area remote sensing image data according to the adjusted flight state and direction.
In specific implementation, after the flight state and the direction are adjusted, the disaster area remote sensing image data can be acquired according to the adjusted flight state and direction, and the acquired disaster area remote sensing image data is obtained.
Step S40: and carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map.
It should be noted that the disaster area remote sensing image data includes aerial photo disaster area image data and satellite image data, and may also include other disaster area remote sensing image data, which is not limited in this embodiment, and the data processing may be pixel correction processing performed on the disaster area remote sensing image data to obtain a Digital Orthophoto Map (DOM).
As shown in fig. 3a-3b, fig. 3a-3b are effect diagrams of obtaining a digital orthophoto map by processing disaster area remote sensing image data, fig. 3a is a disaster area remote sensing image data diagram, a digital orthophoto map is obtained by performing pixel correction processing, fusion processing, and the like on fig. 3a, and fig. 3b is an effect diagram of obtaining a digital orthophoto map by processing disaster area remote sensing image data, and a digital orthophoto map is obtained by performing pixel correction processing, fusion processing, and the like on the disaster area remote sensing image data.
Step S50: and obtaining disaster position information according to the digital orthophoto map.
It should be understood that after the digital orthophoto map is obtained, the digital orthophoto map may be located to obtain disaster location information, which includes specific location information of the disaster, such as space coordinates, longitude and latitude coordinates, and the like of the disaster.
Step S60: and carrying out disaster monitoring and analysis based on the disaster position information.
In this embodiment, after disaster position information is obtained, the range of the geological disaster can be determined, the geological disaster area map is drawn, disaster detection and analysis are performed according to the geological disaster area map, the timeliness of disaster treatment is improved, and the safety of personnel is guaranteed.
In the embodiment, when a data acquisition instruction is received, an acquisition range is obtained based on the data acquisition instruction; adjusting the flight state and direction according to the acquisition range; acquiring disaster area remote sensing image data according to the adjusted flight state and direction; carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map; obtaining disaster position information according to the digital orthophoto map; disaster monitoring and analysis are carried out based on the disaster position information, and by means of the method, the disaster information can be rapidly and accurately collected, and processing efficiency when a disaster occurs is improved.
Referring to fig. 4, fig. 4 is a schematic flow chart of a remote sensing control method according to a second embodiment of the present invention.
Based on the first embodiment, the step 40 of the remote sensing control method of this embodiment specifically includes:
step S401: and acquiring reference data and the type of the disaster area remote sensing image data according to the disaster area remote sensing image data.
It should be noted that the reference data includes photographic attitude data, analytic aerial triangulation results, and Digital Elevation Model (DEM) data, and the types of disaster area remote sensing image data include aerial photo disaster area image data and satellite image data.
Step S402: and carrying out format conversion on the disaster area remote sensing image data to obtain target disaster area remote sensing image data.
In this embodiment, after obtaining the disaster area remote sensing image data, format conversion may be performed on the disaster area remote sensing image data, and the data may be converted into a format required for processing the data, such as a CAD format, a Visio format, and the like. And taking the disaster area remote sensing image data after format conversion as target disaster area remote sensing image data.
Step S403: and carrying out pixel correction processing on the target disaster area remote sensing image data based on the type of the disaster area remote sensing image data and the reference data to obtain a digital orthophoto map.
In this embodiment, pixel correction processing can be performed on the target disaster area remote sensing image data through the type of the disaster area remote sensing image data, the photographic attitude data in the reference data, the analytic aerial triangulation result, and the digital elevation model data, so as to obtain a DOM digital orthophoto map.
Further, the step of carrying out pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map comprises the following steps: when the disaster area remote sensing image data type is aerial photo disaster area image data, acquiring photographic attitude data, analyzing aerial triangulation results and digital elevation model data according to the reference data; establishing an initial model based on the photographic attitude data and the resolved aerial triangulation results; training the initial model based on the digital elevation model data to obtain a digital elevation model; detecting the remote sensing image data of the target disaster area through the digital elevation model to obtain the projection difference of each remote sensing image data pixel; correcting the projection difference of each remote sensing image data pixel to obtain corrected remote sensing image data; and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
It should be understood that when the type of the disaster area remote sensing image data is aerial photo disaster area image data, the photographic attitude data is obtained according to the reference data. The shooting attitude data comprises position attitude information, camera parameter information and the like, the analysis air triangulation result refers to the establishment of a corresponding route model or area network model on the same site by a shooting measurement method according to a small number of field control points by using continuously shot remote sensing image data, so that the plane coordinates and the elevation of the encrypted point are obtained, and the initial model refers to a three-dimensional model established according to the shooting attitude data and the analysis air triangulation result. And training the initial model through the digital elevation model data to obtain a digital elevation model.
In specific implementation, after a digital elevation model is obtained, target disaster area remote sensing image data are input into the digital elevation model for detection, projection differences of all remote sensing image data pixels are obtained through detection, and the projection differences of all remote sensing image data pixels are corrected. Correcting the projection difference of each remote sensing image data pixel comprises the steps of orthorectification, waveband combination, tone adjustment, image fusion, image mosaic and the like. And obtaining corrected remote sensing image data, and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
Specifically, when the type of the remote sensing image data of the disaster area is satellite image data, digital elevation model data is obtained according to the reference data; performing single-chip digital differential correction on the target disaster area remote sensing image data based on the digital elevation model data to obtain corrected remote sensing image data; and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
When the disaster area remote sensing image data type is satellite image data, digital elevation model data are obtained through reference data, correction is carried out on the target disaster area remote sensing image data through external orientation elements of the photo and the digital elevation model to obtain corrected remote sensing image data, and deformation caused by topographic relief of the target disaster area remote sensing image data is eliminated through resampling by utilizing a DEM value of the photo; the single-slice differential correction principle can be generalized to eliminate the effect of camera tilt by the outer orientation calculation for a single shot. And splicing the corrected remote sensing image data pieces, and splicing the corrected remote sensing image data into a complete image map to obtain the digital orthophoto map.
In the embodiment, reference data and the types of disaster area remote sensing image data are obtained according to the disaster area remote sensing image data; carrying out format conversion on the disaster area remote sensing image data to obtain target disaster area remote sensing image data; and carrying out pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map, and improving the efficiency and accuracy of aviation digital orthophoto map generation by correcting the target disaster area remote sensing image data.
Referring to fig. 5, fig. 5 is a schematic flow chart of a remote sensing control method according to a third embodiment of the present invention.
Based on the first and second embodiments, in step 50 of the remote sensing control method of this embodiment, the method specifically includes:
step S501: acquiring a plurality of images of the digital orthophoto map.
It should be understood that the multiple images of the digital orthophoto map refer to several images of the digital orthophoto map having similar overlapping, and the number of the images may be 5, 10, 20, etc., which is not limited in this embodiment.
Step S502: and carrying out feature extraction on the plurality of images through a feature extraction model to obtain extracted features.
In the feature extraction model, feature extraction may be performed on a plurality of images by a principal component analysis method or a linear evaluation analysis method to obtain extracted features, and the extracted features may be local features.
Step S503: and performing feature fusion on the extracted features to obtain fusion features.
In this embodiment, after the extracted features are obtained, feature fusion is performed on a plurality of local features to obtain a fusion feature.
Step S504: and comparing the fusion characteristics with preset characteristic information to obtain disaster position information.
In specific implementation, the preset feature information refers to feature information containing disaster position information, the fusion feature is compared with the preset feature information, and when a similarity error between the fusion feature and the preset feature information meets a preset error threshold, disaster position information corresponding to the preset feature information is used as the disaster position information. The preset error threshold may be set to 0.1, 0.2, etc., and this embodiment is not limited thereto.
Further, the step of correcting the disaster position information may include: acquiring reference data; calculating a distance correction number according to the reference data and the disaster position information; and correcting the disaster position information through the distance correction number to obtain target disaster position information.
The reference data refers to the precise coordinates of the reference station, the distance correction number is calculated according to the precise coordinates and the disaster position information, the distance correction number is sent to the remote sensing control system, and the disaster position information is differentially positioned through the remote sensing control system and the distance correction number, so that the target disaster position information after differential positioning correction is obtained.
The embodiment acquires a plurality of images of the digital orthophoto map; extracting the features of the multiple images through a feature extraction model to obtain extracted features; performing feature fusion on the extracted features to obtain fusion features; and comparing the fusion features with preset feature information to obtain disaster position information, fusing the extracted features to obtain disaster position information through the fusion features, and improving the accuracy of positioning the disaster position information.
Referring to fig. 6, fig. 6 is a block diagram of a remote sensing control system according to a first embodiment of the present invention.
As shown in fig. 6, the remote sensing control system according to the embodiment of the present invention includes:
the receiving module 10 is configured to obtain an acquisition range based on a data acquisition instruction when the data acquisition instruction is received.
And the adjusting module 20 is used for adjusting the flight state and direction according to the acquisition range.
And the acquisition module 30 is used for acquiring disaster area remote sensing image data according to the adjusted flight state and direction.
And the processing module 40 is used for carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map.
And the acquisition module 50 is configured to obtain disaster location information according to the digital orthophoto map.
And the analysis module 60 is configured to perform disaster monitoring and analysis based on the disaster location information.
In the embodiment, when a data acquisition instruction is received, an acquisition range is obtained based on the data acquisition instruction; adjusting the flight state and direction according to the acquisition range; acquiring disaster area remote sensing image data according to the adjusted flight state and direction; carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map; obtaining disaster position information according to the digital orthophoto map; disaster monitoring and analysis are carried out based on the disaster position information, and by means of the method, the disaster information can be rapidly and accurately collected, and processing efficiency when a disaster occurs is improved.
In an embodiment, the processing module 40 is further configured to obtain reference data and a type of the disaster area remote sensing image data according to the disaster area remote sensing image data; carrying out format conversion on the disaster area remote sensing image data to obtain target disaster area remote sensing image data; and carrying out pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map.
In an embodiment, the processing module 40 is further configured to, when the disaster area remote sensing image data type is aerial photograph disaster area image data, obtain photographic attitude data, analyze an aerial triangulation result, and digital elevation model data according to the reference data; establishing an initial model based on the photographic attitude data and the resolved aerial triangulation results; training the initial model based on the digital elevation model data to obtain a digital elevation model; detecting the remote sensing image data of the target disaster area through the digital elevation model to obtain the projection difference of each remote sensing image data pixel; correcting the projection difference of each remote sensing image data pixel to obtain corrected remote sensing image data; and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
In an embodiment, the processing module 40 is further configured to, when the type of the disaster area remote sensing image data is satellite image data, obtain digital elevation model data according to the reference data; performing single-chip digital differential correction on the target disaster area remote sensing image data based on the digital elevation model data to obtain corrected remote sensing image data; and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
In an embodiment, the obtaining module 50 is further configured to obtain a plurality of images of the digital orthophoto map; extracting the features of the multiple images through a feature extraction model to obtain extracted features; performing feature fusion on the extracted features to obtain fusion features; and comparing the fusion characteristics with preset characteristic information to obtain disaster position information.
In an embodiment, the obtaining module 50 is further configured to obtain reference data; calculating a distance correction number according to the reference data and the disaster position information; and correcting the disaster position information through the distance correction number to obtain target disaster position information.
In an embodiment, the receiving module 10 is further configured to analyze the data acquisition instruction when receiving the data acquisition instruction; when the data acquisition instruction is a first range data acquisition instruction, obtaining a first acquisition range; when the data acquisition instruction is a second range data acquisition instruction, obtaining a second acquisition range; when the data acquisition instruction is a third range data acquisition instruction, obtaining a third acquisition range; and taking the first acquisition range, the second acquisition range and the third acquisition range as acquisition ranges.
In addition, to achieve the above object, the present invention also provides a remote sensing control apparatus including: a memory, a processor and a telemetry control program stored on the memory and executable on the processor, the telemetry control program configured to implement the steps of the telemetry control method as described above.
Since the remote sensing control device adopts all the technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A remote sensing control method, the method comprising:
when a data acquisition instruction is received, acquiring an acquisition range based on the data acquisition instruction;
adjusting the flight state and direction according to the acquisition range;
acquiring disaster area remote sensing image data according to the adjusted flight state and direction;
carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map;
obtaining disaster position information according to the digital orthophoto map;
and carrying out disaster monitoring and analysis based on the disaster position information.
2. The remote sensing control method of claim 1, wherein the data processing of the disaster area remote sensing image data to obtain a digital orthophoto map comprises:
acquiring reference data and types of disaster area remote sensing image data according to the disaster area remote sensing image data;
carrying out format conversion on the disaster area remote sensing image data to obtain target disaster area remote sensing image data;
and carrying out pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map.
3. The remote sensing control method of claim 2, wherein the performing pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map comprises:
when the disaster area remote sensing image data type is aerial photo disaster area image data, acquiring photographic attitude data, analyzing aerial triangulation results and digital elevation model data according to the reference data;
establishing an initial model based on the photographic attitude data and the resolved aerial triangulation results;
training the initial model based on the digital elevation model data to obtain a digital elevation model;
detecting the remote sensing image data of the target disaster area through the digital elevation model to obtain the projection difference of each remote sensing image data pixel;
correcting the projection difference of each remote sensing image data pixel to obtain corrected remote sensing image data;
and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
4. The remote sensing control method of claim 2, wherein the performing pixel correction processing on the target disaster area remote sensing image data based on the disaster area remote sensing image data type and the reference data to obtain a digital orthophoto map comprises:
when the type of the remote sensing image data of the disaster area is satellite image data, obtaining digital elevation model data according to the reference data;
performing single-chip digital differential correction on the target disaster area remote sensing image data based on the digital elevation model data to obtain corrected remote sensing image data;
and splicing the corrected remote sensing image data to obtain a digital orthophoto map.
5. The remote sensing control method of claim 1, wherein obtaining disaster location information from the digital orthophotomap comprises:
acquiring a plurality of images of the digital orthophoto map;
extracting the features of the multiple images through a feature extraction model to obtain extracted features;
performing feature fusion on the extracted features to obtain fusion features;
and comparing the fusion characteristics with preset characteristic information to obtain disaster position information.
6. A remote sensing control method as set forth in claim 1, wherein after obtaining disaster location information from the digital orthophoto map, the method further comprises:
acquiring reference data;
calculating a distance correction number according to the reference data and the disaster position information;
and correcting the disaster position information through the distance correction number to obtain target disaster position information.
7. The remote sensing control method according to any one of claims 1-6, wherein obtaining an acquisition range based on the data acquisition command upon receiving the data acquisition command comprises:
when a data acquisition instruction is received, analyzing the data acquisition instruction;
when the data acquisition instruction is a first range data acquisition instruction, obtaining a first acquisition range;
when the data acquisition instruction is a second range data acquisition instruction, obtaining a second acquisition range;
when the data acquisition instruction is a third range data acquisition instruction, obtaining a third acquisition range;
and taking the first acquisition range, the second acquisition range and the third acquisition range as acquisition ranges.
8. A remote sensing control system, comprising:
the receiving module is used for obtaining an acquisition range based on a data acquisition instruction when the data acquisition instruction is received;
the adjusting module is used for adjusting the flight state and direction according to the acquisition range;
the acquisition module is used for acquiring disaster area remote sensing image data according to the adjusted flight state and direction;
the processing module is used for carrying out data processing on the disaster area remote sensing image data to obtain a digital orthophoto map;
the acquisition module is used for acquiring disaster position information according to the digital orthophoto map;
and the analysis module is used for carrying out disaster monitoring and analysis based on the disaster position information.
9. A remote sensing control apparatus, characterized in that the remote sensing control apparatus comprises: a memory, a processor, and a telemetry control program stored on the memory and executable on the processor, the telemetry control program configured to implement the telemetry control method of any of claims 1 to 7.
10. A storage medium having stored thereon a remote sensing control program which, when executed by a processor, implements the remote sensing control method according to any one of claims 1 to 7.
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