A resolution optimization method and system for remote sensing satellites for power transmission projects

Abstract

The present application relates to a kind of for power transmission project remote sensing satellite resolution preferred method and system, comprising: the actual scale of the contour of the power transmission project target in the historical satellite remote sensing image of region under given shooting condition;The actual scale of the contour of the power transmission project target in the historical satellite remote sensing image of region under given shooting condition is determined based on the minimum circumscribed rectangle contour scale corresponding to the power transmission project target;According to the minimum circumscribed rectangle contour scale corresponding to the power transmission project target, the optimal resolution of remote sensing satellite under given shooting condition is determined to shoot the region.The present application can simply, quickly determine suitable satellite remote sensing spatial resolution under specific application scenario, reduce the data iterative analysis and data repeated test process in the traditional spatial resolution calculation method, improve the calculation efficiency of satellite remote sensing spatial resolution.

Description

Technical Field

[0001] This invention relates to the field of power transmission and transformation engineering observation, and specifically to a method and system for optimizing the resolution of remote sensing satellites used in power transmission and transformation engineering. Background Technology In recent years, satellite remote sensing technology has developed rapidly, with spatial resolution evolving from meter-level or even lower to sub-meter level (0.3 m-0.8 m). This has provided the necessary technical conditions for satellite remote sensing observation applications in power transmission and transformation projects. At the same time, satellite remote sensing has advantages such as wide coverage, stable update cycle, less restriction by environmental conditions, and low cost, making it very suitable for observation of power transmission and transformation projects.

[0002] In various applications of satellite remote sensing for power transmission and transformation projects, the scale of the observation targets varies greatly. For environmental inspections of power transmission line corridors, typical environmental hazards include buildings and structures, forests, tree barriers such as tall trees, ponds, construction work areas, roads, bridges, easily floating objects (including agricultural greenhouses, construction site tarpaulins, and coverings), small-scale landslides, floods, wildfires, and mining-affected areas.

[0003] For fault inspection of transmission lines, the main components include: transmission towers (including but not limited to monitoring the construction process of transmission towers, tower tilting, tower collapse, tower head deformation, etc.), conductor strand breakage, wire breakage, foreign objects in conductors (such as films, kites, etc.), and various fittings (such as spacers, etc.).

[0004] In summary, it can be seen that the target scale of concern varies greatly in different application scenarios, ranging from large area targets to very small point targets.

[0005] Therefore, selecting satellite remote sensing data with appropriate spatial resolution is fundamental to carrying out specific applications.

[0006] Currently, existing spatial resolution selection methods mainly determine the optimal spatial resolution of satellite remote sensing images for different application scenarios by quantitatively calculating image quality evaluation indicators or fractal dimension methods. These methods have several problems when applied in actual business operations: (1) Insufficient method versatility. Existing image quality evaluation indicators, such as information entropy and local structure evaluation factors, primarily evaluate the richness of detail information in the overall or local aspects of satellite remote sensing images at a certain resolution, failing to highlight the observation detail of the established power transmission and transformation project targets; (2) Time-consuming and complex operation. For different scenarios of power transmission and transformation projects, it is necessary to extract samples of the established power transmission and transformation project targets and conduct repeated experiments, resulting in relatively long lead times. Summary of the Invention

[0007] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method for optimizing remote sensing satellite resolution for power transmission and transformation projects. This method can quickly and easily determine the appropriate satellite remote sensing spatial resolution for specific application scenarios, reducing the large amount of iterative data analysis and repeated data experiments required in traditional spatial resolution calculation methods, and improving the computational efficiency of satellite remote sensing spatial resolution.

[0008] The objective of this invention is achieved through the following technical solution: This invention provides a method for optimizing remote sensing satellite resolution for power transmission and transformation projects, the improvement of which is that the method includes: To obtain the actual scale of the outline of power transmission and transformation project targets in historical satellite remote sensing images of a region under given shooting conditions; The minimum bounding rectangle outline scale corresponding to the power transmission and transformation project target is determined based on the actual scale of the outline of the target in the historical satellite remote sensing image of the region under the given shooting conditions. The optimal resolution for remote sensing satellites to capture images of the area under given imaging conditions is determined based on the minimum circumscribed rectangle outline scale corresponding to the power transmission and transformation project target.

[0009] Preferably, the predetermined shooting conditions include: predetermined shooting location and predetermined shooting angle.

[0010] Furthermore, the categories of the targets in the power transmission and transformation project include: buildings, tree obstructions, ponds, construction work areas, roads, bridges, easily floating objects, small-scale landslides, floods, wildfires, transmission towers, conductors, and fittings in mining-affected areas.

[0011] Preferably, determining the minimum bounding rectangle contour scale corresponding to the power transmission and transformation project target based on the actual scale of the contour of the target in historical satellite remote sensing images of the region under the given shooting conditions includes: The length of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0012] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The length of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target. No. The weights of the objectives for each category of power transmission and transformation projects. , , The total number of categories, The first one included in the region The total number of transmission and transformation project targets in each category; The width of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0013] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The width of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target.

[0014] Preferably, determining the optimal resolution of the area captured by the remote sensing satellite under given imaging conditions based on the minimum circumscribed rectangle outline scale corresponding to the power transmission and transformation project target includes: The minimum mapping scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target is determined based on the outline scale of the minimum bounding rectangle. ; Calculate the power transmission and transformation project target and its surroundings in historical satellite remote sensing images of the area under given shooting conditions. Overall brightness contrast ratio of the environment within a meter range ; according to and Determine the optimal resolution for the area captured by the remote sensing satellite under given imaging conditions; in, , , Let be the length of the minimum bounding rectangle corresponding to the power transmission and transformation project target. Let be the width of the minimum bounding rectangle corresponding to the power transmission and transformation project target. The average brightness of the power transmission and transformation project targets in historical satellite remote sensing images of the area under given shooting conditions. The area surrounding the power transmission and transformation project target as shown in historical satellite remote sensing images of the region under given shooting conditions. The average brightness of the environment within a meter range, This is the preset distance.

[0015] Furthermore, the aforementioned according to and Determining the optimal resolution for the area captured by a remote sensing satellite under given imaging conditions includes: like Then, the remote sensing satellite captures the area at the optimal resolution under the given imaging conditions. ; Otherwise, the remote sensing satellite will capture the area at the optimal resolution under the given imaging conditions. ; in, The power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given shooting conditions. The overall brightness contrast threshold of the environment within a meter range. Human eye resolution.

[0016] This invention provides a remote sensing satellite resolution optimization system for power transmission and transformation projects, the improvement of which is that the system includes: The acquisition module is used to acquire the actual scale of the outline of power transmission and transformation project targets in historical satellite remote sensing images of a region under given shooting conditions; The first determining module is used to determine the minimum bounding rectangle contour scale corresponding to the power transmission and transformation project target based on the actual scale of the contour of the power transmission and transformation project target in the historical satellite remote sensing image of the area under the given shooting conditions. The second determining module is used to determine the optimal resolution of the area captured by the remote sensing satellite under given shooting conditions based on the minimum circumscribed rectangle outline scale corresponding to the power transmission and transformation project target.

[0017] Preferably, the first determining module is used for: The length of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0018] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The length of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target. No. The weights of the objectives for each category of power transmission and transformation projects. , , The total number of categories, The first one included in the region The total number of transmission and transformation project targets in each category; The width of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0019] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The width of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target.

[0020] Preferably, the second determining module includes: The first determining unit is used to determine the minimum mapping scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target based on the outline scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target. ; The computing unit is used to calculate the power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given imaging conditions. Overall brightness contrast ratio of the environment within a meter range ; The second determining unit is used to determine, according to and Determine the optimal resolution for the area captured by the remote sensing satellite under given imaging conditions; in, , , Let be the length of the minimum bounding rectangle corresponding to the power transmission and transformation project target. Let be the width of the minimum bounding rectangle corresponding to the power transmission and transformation project target. The average brightness of the power transmission and transformation project targets in historical satellite remote sensing images of the area under given shooting conditions. The area surrounding the power transmission and transformation project target as shown in historical satellite remote sensing images of the region under given shooting conditions. The average brightness of the environment within a meter range, This is the preset distance.

[0021] Furthermore, the second determining unit is used for: like Then, the remote sensing satellite captures the area at the optimal resolution under the given imaging conditions. ; Otherwise, the remote sensing satellite will capture the area at the optimal resolution under the given imaging conditions. ; in, The power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given shooting conditions. The overall brightness contrast threshold of the environment within a meter range. Human eye resolution.

[0022] Compared with the closest existing technology, the present invention has the following advantages: The technical solution provided by this invention obtains the actual scale of the outlines of power transmission and transformation engineering targets of a predetermined category in historical satellite remote sensing images of a region under given shooting conditions; determines the minimum bounding rectangle outline scale corresponding to the power transmission and transformation engineering targets based on the actual scale of the outlines of the power transmission and transformation engineering targets of the predetermined category in historical satellite remote sensing images of the region under the given shooting conditions; and determines the optimal resolution of the region captured by the remote sensing satellite under the given shooting conditions based on the minimum bounding rectangle outline scale corresponding to the power transmission and transformation engineering targets. This invention simplifies and quickly determines the appropriate satellite remote sensing spatial resolution for specific application scenarios, reduces the large amount of data iterative analysis and repeated data experiments in traditional spatial resolution calculation methods, and improves the computational efficiency of satellite remote sensing spatial resolution.

[0023] The technical solution provided by this invention is applicable to the selection of optimal spatial resolution for remote sensing satellites in different application scenarios. Attached Figure Description

[0024] Figure 1 This is a flowchart of a method for optimizing the resolution of remote sensing satellites used in power transmission and transformation projects. Figure 2 This is a 0.6 m resolution satellite remote sensing image of the power transmission line construction progress monitoring scenario in specific embodiment 1 of the present invention; Figure 3 This is a 1.5 m resolution satellite remote sensing image of a power transmission line under satellite remote sensing inspection scenario in specific embodiment 2 of the present invention; Figure 4 This is a flowchart of a remote sensing satellite resolution optimization system used in power transmission and transformation projects. Detailed Implementation

[0025] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] This invention provides a method for optimizing the resolution of remote sensing satellites used in power transmission and transformation projects, such as... Figure 1 As shown, the method includes: Step 101 is used to obtain the actual scale of the outline of the power transmission and transformation project target in the historical satellite remote sensing image of the area under given shooting conditions; Step 102 is used to determine the minimum bounding rectangle outline scale corresponding to the power transmission and transformation project target based on the actual scale of the outline of the power transmission and transformation project target in the historical satellite remote sensing image of the area under the given shooting conditions. Step 103 is used to determine the optimal resolution of the area captured by the remote sensing satellite under given imaging conditions based on the minimum circumscribed rectangle outline scale corresponding to the power transmission and transformation project target.

[0028] Specifically, the predetermined shooting conditions include: predetermined shooting location and predetermined shooting angle, both of which are determined according to the actual needs of the project.

[0029] Specifically, the categories of targets in the power transmission and transformation project include: buildings, tree obstructions, ponds, construction work areas, roads, bridges, easily floating objects, small-scale landslides, floods, wildfires, transmission towers, conductors, and fittings in mining-affected areas.

[0030] Specifically, step 102 is used for: The length of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0031] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The length of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target. No. The weights of the objectives for each category of power transmission and transformation projects. , , The total number of categories, The first one included in the region The total number of transmission and transformation project targets in each category; In the preferred embodiment of the invention, the number of power transmission and transformation project targets of a given category generally does not exceed five.

[0032] The width of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0033] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The width of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target.

[0034] Specifically, step 103 includes: Step 103-1 is used to determine the minimum mapping scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target based on the outline scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target. ; Step 103-2 is used to calculate the power transmission and transformation project target and its surroundings in historical satellite remote sensing images of the area under given shooting conditions. Overall brightness contrast ratio of the environment within a meter range ; Step 103-3, used according to and Determine the optimal resolution for the area captured by the remote sensing satellite under given imaging conditions; in, , , Let be the length of the minimum bounding rectangle corresponding to the power transmission and transformation project target. Let be the width of the minimum bounding rectangle corresponding to the power transmission and transformation project target. The average brightness of the power transmission and transformation project targets in historical satellite remote sensing images of the area under given shooting conditions. The area surrounding the power transmission and transformation project target as shown in historical satellite remote sensing images of the region under given shooting conditions. The average brightness of the environment within a meter range, The preset distance is usually 100 m.

[0035] Furthermore, step 103-3 is used for: like Then, the remote sensing satellite captures the area at the optimal resolution under the given imaging conditions. ; Otherwise, the remote sensing satellite will capture the area at the optimal resolution under the given imaging conditions. ; in, The power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given shooting conditions. The overall brightness contrast threshold of the environment within a meter range. Human eye resolution.

[0036] In a preferred embodiment of the present invention, human eye resolution ε The accuracy varies from person to person, ranging from 0.1 mm to 0.5 mm. Therefore, the data requester needs to determine the required human eye resolution accuracy based on their specific needs. ε ; The typical value is 60%-80%, and 1.5 is an empirical coefficient that can be adjusted appropriately between 1.2 and 2.

[0037] Example 1: By analyzing historical images, the construction progress of power transmission lines in a certain area is mainly focused on the transmission towers.

[0038] The transmission towers are spaced approximately 10 meters apart, with heights ranging from tens to hundreds of meters. Calculations show that a 1:2000 scale map (S=2000) is needed to clearly visualize the construction progress of the transmission towers. At the same time, in order to ensure that details are seen clearly, the resolution of the human eye... ε Set to 0.2; Due to the combined brightness contrast between the transmission tower and its surrounding environment The resolution is relatively large, therefore the preferred resolution is [missing information]. r =2000×0.2×1.5×10 -3 =0.6 m.

[0039] Example 2: In satellite remote sensing images of a DC transmission line in a certain area, the predetermined types of transmission point engineering targets include buildings, forests, tree obstacles such as tall trees, construction work areas, easily floating objects (including agricultural greenhouses, construction site tarpaulins, and coverings), and small-scale landslides.

[0040] The average dimensions of the circumscribed rectangle of the above five types of power transmission point engineering targets are as follows: Building: 10 m long, 5 m wide.

[0041] Forest, tall trees: 10 m long, 10 m wide.

[0042] Construction work area: 10 m long and 10 m wide.

[0043] Easily floating object: 1 m long, 1 m wide.

[0044] Small-scale landslide: 10 m long and 5 m wide.

[0045] The five types of land features are assigned the following weights: w ={ w 1, w 2, w 3, w 4, w 5} = {0.2, 0.3, 0.2, 0.1, 0.2} Thus, the minimum bounding rectangle outline dimensions corresponding to the five types of power transmission and transformation project targets are: (m) (m) To clearly see ground features with dimensions of 8.2 m and 7.1 m, a map at a scale of at least 1:5000 is required, i.e., S=5000.

[0046] At the same time, in order to ensure that details are seen clearly, the resolution of the human eye... ε The value is set to 0.2 due to the overall brightness contrast between the transmission tower and its surrounding environment. The resolution is relatively large, therefore the preferred resolution is [missing information]. r =5000×0.2×1.5×10 -3 =1.5 m.

[0047] This invention provides a remote sensing satellite resolution optimization system for power transmission and transformation projects, such as... Figure 4 As shown, the system includes: The acquisition module is used to acquire the actual scale of the outline of power transmission and transformation project targets in historical satellite remote sensing images of a region under given shooting conditions; The first determining module is used to determine the minimum bounding rectangle contour scale corresponding to the power transmission and transformation project target based on the actual scale of the contour of the power transmission and transformation project target in the historical satellite remote sensing image of the area under the given shooting conditions. The second determining module is used to determine the optimal resolution of the area captured by the remote sensing satellite under given shooting conditions based on the minimum circumscribed rectangle outline scale corresponding to the power transmission and transformation project target.

[0048] Specifically, the first determining module is used for: The length of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0049] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The length of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target. No. The weights of the objectives for each category of power transmission and transformation projects. , , The total number of categories, The first one included in the region The total number of transmission and transformation project targets in each category; The width of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. :

[0050] In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The width of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target.

[0051] Specifically, the second determining module includes: The first determining unit is used to determine the minimum mapping scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target based on the outline scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target. ; The computing unit is used to calculate the power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given imaging conditions. Overall brightness contrast ratio of the environment within a meter range ; The second determining unit is used to determine, according to and Determine the optimal resolution for the area captured by the remote sensing satellite under given imaging conditions; in, , , Let be the length of the minimum bounding rectangle corresponding to the power transmission and transformation project target. Let be the width of the minimum bounding rectangle corresponding to the power transmission and transformation project target. The average brightness of the power transmission and transformation project targets in historical satellite remote sensing images of the area under given shooting conditions. The area surrounding the power transmission and transformation project target as shown in historical satellite remote sensing images of the region under given shooting conditions. The average brightness of the environment within a meter range, This is the preset distance.

[0052] Furthermore, the second determining unit is used for: like Then, the remote sensing satellite captures the area at the optimal resolution under the given imaging conditions. ; Otherwise, the remote sensing satellite will capture the area at the optimal resolution under the given imaging conditions. ; in, The power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given shooting conditions. The overall brightness contrast threshold of the environment within a meter range. Human eye resolution.

[0053] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0055] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0056] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing remote sensing satellite resolution for power transmission and transformation projects, characterized in that, The method includes: To obtain the actual scale of the outline of power transmission and transformation project targets in historical satellite remote sensing images of a region under given shooting conditions; The minimum bounding rectangle outline scale corresponding to the power transmission and transformation project target is determined based on the actual scale of the outline of the target in the historical satellite remote sensing image of the region under the given shooting conditions. The optimal resolution for remote sensing satellites to capture the area under given imaging conditions is determined based on the minimum bounding rectangle outline scale corresponding to the power transmission and transformation project target. The determination of the minimum bounding rectangle contour scale corresponding to the power transmission and transformation project target based on the actual scale of the contour of the historical satellite remote sensing image of the region under the given shooting conditions includes: The length of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. : In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The length of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target. No. The weights of the objectives for each category of power transmission and transformation projects. , , The total number of categories, The first one included in the region The total number of transmission and transformation project targets in each category; The width of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. : In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The width of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target.

2. The method as described in claim 1, characterized in that, The predetermined shooting conditions include: predetermined shooting location and predetermined shooting angle.

3. The method as described in claim 1, characterized in that, The categories of targets in the power transmission and transformation project include: buildings, tree obstructions, ponds, construction work areas, roads, bridges, easily floating objects, small-scale landslides, floods, wildfires, transmission towers, conductors, and fittings in mining-affected areas.

4. The method as described in claim 1, characterized in that, Determining the optimal resolution of the area captured by the remote sensing satellite under given imaging conditions based on the minimum circumscribed rectangle outline scale corresponding to the power transmission and transformation project target includes: The minimum mapping scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target is determined based on the outline scale of the minimum bounding rectangle. ; Calculate the power transmission and transformation project target and its surroundings in historical satellite remote sensing images of the area under given shooting conditions. Overall brightness contrast ratio of the environment within a meter range ; according to and Determine the optimal resolution for the area captured by the remote sensing satellite under given imaging conditions; in, , , Let be the length of the minimum bounding rectangle corresponding to the power transmission and transformation project target. Let be the width of the minimum bounding rectangle corresponding to the power transmission and transformation project target. The average brightness of the power transmission and transformation project targets in historical satellite remote sensing images of the area under given shooting conditions. The area surrounding the power transmission and transformation project target as shown in historical satellite remote sensing images of the region under given shooting conditions. The average brightness of the environment within a meter range, This is the preset distance.

5. The method as described in claim 4, characterized in that, According to and Determining the optimal resolution for the area captured by a remote sensing satellite under given imaging conditions includes: like Then, the remote sensing satellite captures the area at the optimal resolution under the given imaging conditions. ; Otherwise, the remote sensing satellite will capture the area at the optimal resolution under the given imaging conditions. ; in, The power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given shooting conditions. The overall brightness contrast threshold of the environment within a meter range. Human eye resolution.

6. A remote sensing satellite resolution optimization system for power transmission and transformation projects, characterized in that, The system includes: The acquisition module is used to acquire the actual scale of the outline of power transmission and transformation project targets in historical satellite remote sensing images of a region under given shooting conditions; The first determining module is used to determine the minimum bounding rectangle contour scale corresponding to the power transmission and transformation project target based on the actual scale of the contour of the power transmission and transformation project target in the historical satellite remote sensing image of the area under the given shooting conditions. The second determining module is used to determine the optimal resolution of the area captured by the remote sensing satellite under given shooting conditions based on the minimum bounding rectangle outline scale corresponding to the power transmission and transformation project target. The first determining module is used for: The length of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. : In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The length of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target. No. The weights of the objectives for each category of power transmission and transformation projects. , , The total number of categories, The first one included in the region The total number of transmission and transformation project targets in each category; The width of the minimum bounding rectangle corresponding to the target of the power transmission and transformation project is determined by the following formula. : In the formula, The first historical satellite remote sensing image of a region under given shooting conditions The first category of power transmission and transformation project objectives The width of the minimum bounding rectangle corresponding to the actual dimensions of the outline of a power transmission and transformation project target.

7. The system as described in claim 6, characterized in that, The second determining module includes: The first determining unit is used to determine the minimum mapping scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target based on the outline scale of the minimum bounding rectangle corresponding to the power transmission and transformation project target. ; The computing unit is used to calculate the power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given imaging conditions. Overall brightness contrast ratio of the environment within a meter range ; The second determining unit is used to determine, according to and Determine the optimal resolution for the area captured by the remote sensing satellite under given imaging conditions; in, , , Let be the length of the minimum bounding rectangle corresponding to the power transmission and transformation project target. Let be the width of the minimum bounding rectangle corresponding to the power transmission and transformation project target. The average brightness of the power transmission and transformation project targets in historical satellite remote sensing images of the area under given shooting conditions. The area surrounding the power transmission and transformation project target as shown in historical satellite remote sensing images of the region under given shooting conditions. The average brightness of the environment within a meter range, This is the preset distance.

8. The system as described in claim 7, characterized in that, The second determining unit is used for: like Then, the remote sensing satellite captures the area at the optimal resolution under the given imaging conditions. ; Otherwise, the remote sensing satellite will capture the area at the optimal resolution under the given imaging conditions. ; in, The power transmission and transformation project target and its surroundings in historical satellite remote sensing images of an area under given shooting conditions. The overall brightness contrast threshold of the environment within a meter range. Human eye resolution.

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