CN112765296A - Gridding pattern spot checking method and system - Google Patents
Gridding pattern spot checking method and system Download PDFInfo
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- CN112765296A CN112765296A CN202110049546.6A CN202110049546A CN112765296A CN 112765296 A CN112765296 A CN 112765296A CN 202110049546 A CN202110049546 A CN 202110049546A CN 112765296 A CN112765296 A CN 112765296A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/56—Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
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Abstract
The invention provides a gridding pattern spot checking method and a gridding pattern spot checking system, wherein the method comprises the following steps: the method comprises the steps of dividing grids which are uniformly distributed and have preset sizes, analyzing the image spots needing to be checked in each administrative area based on original satellite picture image spot vectors issued by a superior and administrative division basic data to which the satellite picture image spot vectors belong, overlapping the satellite picture image spot vectors and the grids which are uniformly distributed, determining the grids covered by each image spot, checking the positions of the image spots according to the positions needing to be checked, uploading a checking result after on-site photographing, obtaining multi-period remote sensing image data, intercepting a remote sensing image screenshot of the grids covered by the image spots needing to be checked, identifying the ground type elements on the remote sensing image screenshot, marking out the image spots of a building or a structure as main objects for checking and monitoring by a management terminal, and collecting the on-site image data through a video monitoring probe near the grids covered by the image spots to check the image spots. The scheme can reduce the consumption of manpower and material resources in auditing and monitoring, saves law enforcement cost and realizes remote monitoring and verification.
Description
Technical Field
The invention relates to the technical field of geographic information, in particular to a gridding pattern spot checking method and a gridding pattern spot checking system.
Background
The law enforcement bureau of the department of natural resources carries out quarterly sanitary film law enforcement inspection work every year, and all to-be-inspected picture spots are issued to county level through the little letter applet, and simultaneously, the picture spot vector can also be issued to units such as various provinces, municipal surveying and mapping institute that possess the processing ability, and the county level can be gone to and take a picture on the spot according to the navigation position, uploads and check information, and province and municipal level are to the field information that county level reported, combines the interior work material of presenting a witness, the check result of affirmation picture spot.
In the traditional working mode, the checking work is only carried out once under the normal condition, and whether continuous violation exists after the checking and whether the illegal pattern spots are rectified and put in place cannot be monitored. In order to prove the working effect of the user, the county level often needs to manually shoot the picture spot on the spot when the user audits at the upper level, so that the time and the labor are consumed, and the working period of the whole examination and audit is influenced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and a system for checking a grid pattern spot to solve the problem.
In a first aspect of the embodiments of the present invention, a method for checking a gridded image spot is provided, including:
demarcating uniformly distributed grids with preset sizes nationwide;
analyzing the image spots needing to be checked in each level of administrative regions based on original satellite picture image spot vectors issued by the upper level and administrative region basic data to which the satellite picture image spots belong;
superposing the satellite film pattern spot vectors and the uniformly distributed grids, and determining the grids covered by each pattern spot;
checking the position of the pattern spot according to the requirement, and uploading the checking result after taking a picture on the spot;
acquiring multi-period remote sensing image data, intercepting a remote sensing image screenshot of a grid covered by a pattern spot to be checked, identifying land elements on the remote sensing image screenshot, and marking the pattern spot of a building or a structure as a main object for auditing and monitoring by a management end;
and acquiring field image data through a video monitoring probe near the grid covered by the pattern spots so as to check the pattern spots.
In a second aspect of the embodiments of the present invention, there is provided a grid-based spot check system, including:
the grid dividing module is used for dividing grids with preset sizes and uniform distribution nationwide;
the analysis module is used for analyzing the image spots needing to be checked in each level of administrative regions based on original satellite image spot vectors issued by the upper level and administrative division basic data to which the satellite image spots belong;
the superposition module is used for superposing the satellite film pattern spot vectors and the uniformly distributed grids and determining the grids covered by each pattern spot;
the result uploading module is used for checking the position of the pattern spot according to the requirement and uploading the checking result after taking a picture on site;
the marking module is used for acquiring multi-period remote sensing image data, intercepting a remote sensing image screenshot of a grid covered by a spot to be checked, identifying land elements on the remote sensing image screenshot, and marking the spot of a building or a structure as a main object for auditing and monitoring by a management end;
and the checking module is used for acquiring the field image data through the video monitoring probe near the grid covered by the pattern spots so as to check the pattern spots.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method according to the first aspect of the embodiments of the present invention.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method provided in the first aspect of the embodiments of the present invention.
In the embodiment of the invention, each administrative area is divided into grids, the pattern spots to be checked fall on the corresponding grids, the grids are reversely nested and intercepted to obtain the remote sensing images, the change pattern spots of obvious buildings or structures are extracted, and the monitoring video probe near the range of the grids is called for checking, so that the problem that the process of manually photographing the pattern spots on site again is time-consuming and labor-consuming can be solved, the pattern spots on site can be checked in different places, manpower and material resources are saved, the law enforcement supervision capability is improved, the cost is reduced, and the remote pattern spot checking and auditing are facilitated.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a gridding pattern spot checking method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a gridding pattern spot checking system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons skilled in the art without any inventive work shall fall within the protection scope of the present invention, and the principle and features of the present invention shall be described below with reference to the accompanying drawings.
The terms "comprises" and "comprising," when used in this specification and claims, and in the accompanying drawings and figures, are intended to cover non-exclusive inclusions, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements.
Referring to fig. 1, fig. 1 is a schematic flow chart of a grid pattern spot checking method according to an embodiment of the present invention, including:
s101, defining uniformly distributed grids with preset sizes nationwide;
the national region range is divided into grids to obtain a gridded Chinese map, and the size of the grids can be set according to actual needs, such as grids with equal length and width, such as 1km multiplied by 1km and 2km multiplied by 2 km.
In one embodiment, a uniformly distributed network with an area of 1 square kilometer (1km × 1km) is defined on a nationwide basis.
S102, analyzing the image spots needing to be checked in each level of administrative regions based on original satellite image spot vectors issued by the upper level and administrative division basic data to which the satellite image spots belong;
based on the original satellite picture spot vector issued by the upper level, the spot needing to be checked in each level of administrative regions can be analyzed by combining the administrative region basic data. The map spots to be checked at the county level are generally determined according to the real-time updated satellite picture spots and the basic data (such as industrial land, cultivated land and the like) reported by each county-level administrative district.
S103, overlaying the satellite film pattern spot vectors and the uniformly distributed grids, and determining the grids covered by each pattern spot;
the national satellite picture spot vector or the satellite picture spot of a specific administrative district can be overlaid on the grid to determine the need to check the spot based on the grid.
S104, checking the position of the pattern spot according to the requirement, and uploading the checking result after taking a picture on the spot;
and for the firstly issued pattern spots needing to be checked, county-level workers take pictures on the spot according to the navigation positions of the pattern spots and upload the checking results.
Optionally, the higher level checks the uploaded check result, returns to the lower level for rechecking if the check result is not passed, and determines whether the check result belongs to the key spot or not if the check result is passed. If the image belongs to the key pattern spot, the multi-period remote sensing image data after time phase extraction needs to be called, the image screenshot of the pattern spot coverage grid is combined, and the land type elements are identified.
S105, acquiring multi-period remote sensing image data, intercepting a remote sensing image screenshot of a grid covered by a pattern spot to be checked, identifying a land element on the remote sensing image screenshot, and marking the pattern spot of a building or a structure as a main object for auditing and monitoring by a management end;
specifically, multi-period remote sensing image data after time phase extraction time is called, an image screenshot of a grid covered by a pattern spot is extracted in a sleeved mode, the pattern spot with an obvious structure (building) is marked by identifying land type elements on the image screenshot, and the image screenshot is used as a key object for auditing and monitoring by a management end.
And S106, acquiring field image data through the video monitoring probe near the grid covered by the pattern spots to check the pattern spots.
And acquiring all monitoring probes near the grid where the pattern spots need to be checked, wherein the monitoring probes can be monitoring cameras installed for law enforcement inspection of the satellite film, and can also be monitoring probes legally called currently. The method comprises the steps of acquiring image data from different angles through a plurality of probes and checking a target.
Preferably, the video monitoring probes with a plurality of angles near the grid covered by the pattern spots are called at the management end, the video probes are controlled to rotate up and down and left and right, and the relation between the position and direction of the probes and the spatial position of the pattern spots is displayed on a map in real time.
If the pattern spots have the conditions of obviously constructing (building) structures and the like, the pattern spots are used as key objects for auditing and monitoring by a management end, and if the conditions of obviously constructing (building) structures and the like do not exist, the checking is finished;
if the mobile terminal needs to go to the field for checking, the mobile terminal is re-distributed to the county level for checking, and if the mobile terminal does not need to go to the field for checking, the checking is finished; if the map does not belong to the key map spots but belongs to illegal map spots, image registration and video monitoring observation are required to be carried out to determine whether the map spots obviously constructing (building) exist; if the image does not belong to the key image spots and the illegal image spots, the checking is finished.
The method provided by the embodiment generates a uniformly distributed grid with the area of 1 square kilometer (1 kilometer by 1 kilometer) based on a GIS map, falls each pattern spot to be checked on a specific grid, automatically extracts and marks the existence of an obvious building according to a new period of remote sensing images which are irregularly registered, calls a monitoring video probe near the grid, remotely checks the actual dynamic condition of the pattern spot on site, realizes that the pattern spots cannot be monitored by a user, monitors the subsequent rectification and improvement situation, greatly improves the supervision capability, saves the law enforcement cost, reduces the consumption of manpower and material resources, and effectively controls the occurrence of the local misreport and the concealed report situation.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 2 is a schematic structural diagram of a system for grid pattern spot check according to an embodiment of the present invention, where the system includes:
the grid dividing module 210 is used for dividing grids with preset sizes and uniform distribution nationwide;
specifically, the length and width of the marking line are all 1km, and the area is 1km2Are evenly distributed in a grid.
The analysis module is used for analyzing the image spots needing to be checked in each level of administrative regions based on original satellite image spot vectors issued by the upper level and administrative division basic data to which the satellite image spots belong;
a superposition module 230, configured to superpose the satellite film spot vectors and the uniformly distributed grids, and determine a grid covered by each spot;
a result uploading module 240, configured to check the position of the pattern spot as needed, and upload the check result after taking a picture in the field;
optionally, the result uploading module 240 further includes:
and the auditing module is used for auditing the uploaded auditing result by the superior, sending back to the subordinate for rechecking if the auditing result is not passed, and judging whether the pattern spot needing to be checked belongs to the key pattern spot if the auditing result is passed.
The marking module 250 is used for acquiring multi-period remote sensing image data, intercepting a remote sensing image screenshot of a grid covered by a spot to be checked, identifying land elements on the remote sensing image screenshot, and marking the spot of a building or a structure as a main object for auditing and monitoring by a management end;
and the checking module 260 is used for acquiring the solid image data through the video monitoring probe near the grid covered by the pattern spots so as to check the pattern spots.
Specifically, video monitoring probes at multiple angles near a grid covered by the pattern spots are called at a management end, the video probes are controlled to rotate, and the spatial position relation between the position and the direction of the probes and the pattern spots is displayed on a map in real time.
It is understood that, in one embodiment, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the computer program executes steps S101 to S106 in the first embodiment, and the processor implements the monitoring video-based gridding pattern check when executing the computer program.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program to instruct associated hardware, where the program may be stored in a computer-readable storage medium, and when the program is executed, the program includes steps S101 to S106, where the storage medium includes, for example: ROM/RAM, magnetic disk, optical disk, etc.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A gridding pattern spot checking method is characterized by comprising the following steps:
demarcating uniformly distributed grids with preset sizes nationwide;
analyzing the image spots needing to be checked in each level of administrative regions based on original satellite picture image spot vectors issued by the upper level and administrative region basic data to which the satellite picture image spots belong;
superposing the satellite film pattern spot vectors and the uniformly distributed grids, and determining the grids covered by each pattern spot;
checking the position of the pattern spot according to the requirement, and uploading the checking result after taking a picture on the spot;
acquiring multi-period remote sensing image data, intercepting a remote sensing image screenshot of a grid covered by a pattern spot to be checked, identifying land elements on the remote sensing image screenshot, and marking the pattern spot of a building or a structure as a main object for auditing and monitoring by a management end;
and acquiring field image data through a video monitoring probe near the grid covered by the pattern spots so as to check the pattern spots.
2. The method according to claim 1, characterized in that said mesh delimiting a uniform distribution of preset sizes is in particular:
and defining a uniformly distributed grid with the length and the width of 1 km.
3. The method of claim 1, wherein the location of the pattern spot is checked as needed, and uploading the check result after taking a picture in the field further comprises:
and if the verification is passed, judging whether the pattern spots needing to be verified belong to key pattern spots or not.
4. The method of claim 1, wherein the acquiring of the field image data for the spot check by the video surveillance probe near the grid to which the spot is overlaid comprises:
and calling the video monitoring probes at a plurality of angles near the grid covered by the pattern spots at the management end, controlling the video probes to rotate, and displaying the spatial position relation between the position and direction of the probes and the pattern spots on a map in real time.
5. A system for grid pattern spot verification, comprising:
the grid dividing module is used for dividing grids with preset sizes and uniform distribution nationwide;
the analysis module is used for analyzing the image spots needing to be checked in each level of administrative regions based on original satellite image spot vectors issued by the upper level and administrative division basic data to which the satellite image spots belong;
the superposition module is used for superposing the satellite film pattern spot vectors and the uniformly distributed grids and determining the grids covered by each pattern spot;
the result uploading module is used for checking the position of the pattern spot according to the requirement and uploading the checking result after taking a picture on site;
the marking module is used for acquiring multi-period remote sensing image data, intercepting a remote sensing image screenshot of a grid covered by a spot to be checked, identifying land elements on the remote sensing image screenshot, and marking the spot of a building or a structure as a main object for auditing and monitoring by a management end;
and the checking module is used for acquiring the field image data through the video monitoring probe near the grid covered by the pattern spots so as to check the pattern spots.
6. The system according to claim 5, characterized in that said grid delimiting a uniform distribution of preset sizes is in particular:
and defining a uniformly distributed grid with the length and the width of 1 km.
7. The system of claim 5, wherein the result uploading module further comprises:
and the auditing module is used for auditing the uploaded auditing result by the superior, sending back to the subordinate for rechecking if the auditing result is not passed, and judging whether the pattern spot needing to be checked belongs to the key pattern spot if the auditing result is passed.
8. The system of claim 5, wherein the acquiring of the field image data for the spot check by the video surveillance probe near the grid to which the spot is overlaid comprises:
and calling the video monitoring probes at a plurality of angles near the grid covered by the pattern spots at the management end, controlling the video probes to rotate, and displaying the spatial position relation between the position and direction of the probes and the pattern spots on a map in real time.
9. An electronic device comprising a processor, a memory, and a computer program stored in and run on the memory, wherein the steps of the gridding pattern spot check method according to any of claims 1-4 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the gridded patch check method according to any of claims 1 to 4.
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CN115631168A (en) * | 2022-10-27 | 2023-01-20 | 广东省土地调查规划院 | Quality inspection method, device and storage medium for speckle results |
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