Spatial geographic measurement data acquisition method and system based on wireless remote sensing

Abstract

The invention relates to the technical field of spatial geography measurement data acquisition, in particular to a spatial geography measurement data acquisition method and system based on wireless remote sensing, and the method comprises the steps: matching the spatial geography feature data of a target region with spatial geography measurement scheme data, and generating the spatial geography measurement scheme data of the target region; acquiring image data of a target area in real time according to the spatial geographic measurement scheme data of the target area, preprocessing the image data, generating spatial geographic measurement image feature data of the target area, and accurately matching the coordinate position of the spatial geographic measurement image feature data of the target area in the spatial geographic map data; and generating spatial geographic image mapping position data of the target area, updating the spatial geographic map data to obtain updated spatial geographic map data, repeating the operation until spatial geographic measurement data acquisition operation is completed, generating spatial geographic measurement data, and pushing the spatial geographic measurement data to a spatial geographic measurement data acquisition platform. And accurate acquisition of spatial geographic measurement data is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of spatial geographic measurement data acquisition, and specifically provides a method and system for spatial geographic measurement data acquisition based on wireless remote sensing. Background Art

[0002] With the continuous development of science and technology, the requirements for geographic information systems are also constantly increasing. Traditional methods for spatial geographic measurement data acquisition have problems such as low data acquisition accuracy and inability to dynamically adjust the data acquisition plan according to the actual situation, resulting in poor completion of spatial geographic measurement data acquisition operations.

[0003] The Chinese patent invention with the publication number CN108563674B introduces a method, system and device for measuring marine geographic elements based on RS and GIS. By preprocessing remote sensing data, extracting data of the required area therefrom to obtain regional remote sensing data; performing geographic registration on the regional remote sensing data with reference to the geographic coordinate system; establishing an element data table, an element class and a relationship table in the geographic database; analyzing the regional remote sensing data in the geographic database, and importing the analysis results into a measurement tool to measure the required geographic elements to obtain measurement data. It not only saves manpower and financial resources for field measurement, greatly improves work efficiency, but also can record marine geographic elements in historical periods, facilitating data analysis and research work. However, it cannot dynamically adjust the data acquisition plan according to the actual situation, and it is difficult to ensure the accuracy and precision of the acquired remote sensing data. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] To solve the deficiencies in the background art, the present invention provides a method and system for spatial geographic measurement data acquisition based on wireless remote sensing, realizing precise acquisition of spatial geographic measurement data.

[0006] (2) Technical Solutions

[0007] A method for spatial geographic measurement data acquisition based on wireless remote sensing includes the following steps:

[0008] S1. Collect spatial geographic feature data of the target area;

[0009] S2. Perform measurement plan data matching processing on the spatial geographic feature data of the target area and the spatial geographic measurement plan data to generate spatial geographic measurement plan data of the target area;

[0010] S3. Collect image data of the target area in real time according to the spatial geographic measurement plan data of the target area to generate spatial geographic measurement image data of the target area;

[0011] S4. Perform data preprocessing on the spatial geographical measurement image data of the target area to generate spatial geographical measurement image feature data of the target area;

[0012] S5. Perform coordinate position matching processing on the spatial geographical measurement image feature data and the spatial geographical map data of the target area to generate spatial geographical image mapping position data of the target area;

[0013] S6. Update the spatial geographical map data according to the spatial geographical image mapping position data of the target area to obtain the updated spatial geographical map data;

[0014] S7. Repeat the steps in S1 to S6 until the spatial geographical measurement data acquisition operation is completed, then generate spatial geographical measurement data and push it to the spatial geographical measurement data acquisition platform.

[0015] In the present invention, by precisely matching the collected spatial geographical feature data of the target area with the scientifically preset spatial geographical measurement scheme data, spatial geographical measurement scheme data of the target area is generated. According to the spatial geographical measurement scheme data of the target area, image data of the target area is collected in real time and data preprocessing is performed to generate spatial geographical measurement image feature data of the target area. The coordinate position of the spatial geographical measurement image feature data of the target area in the spatial geographical map data is accurately matched to generate spatial geographical image mapping position data of the target area and update the spatial geographical map data to obtain the updated spatial geographical map data. The operation is repeated until the spatial geographical measurement data acquisition operation is completed, then spatial geographical measurement data is generated and pushed to the spatial geographical measurement data acquisition platform, realizing the precise acquisition of spatial geographical measurement data.

[0016] Preferably, the specific steps for collecting spatial geographical feature data of the target area are as follows:

[0017] S11. Divide the spatial geographical measurement area into several spatial geographical measurement sub-areas according to the terrain features to generate a set of spatial geographical measurement sub-areas A = {a 1 , a 2 , …, a i , …, a k}, where a i represents the i-th spatial geographical measurement sub-area, and k represents the total number of spatial geographical measurement sub-areas;

[0018] S12. Randomly select any one of the spatial geographical measurement sub-areas in the set of spatial geographical measurement sub-areas as the target area, and online collect the spatial geographical feature data of the target area through the spatial geographical measurement data acquisition platform to generate spatial geographical feature data B of the target area. The spatial geographical feature data includes, but is not limited to, terrain data, vegetation data, and area data.

[0019] Preferably, the specific steps of performing measurement scheme data matching processing on the target area spatial geographical feature data and the spatial geographical measurement scheme data to generate the target area spatial geographical measurement scheme data are as follows:

[0020] S21. Establish a spatial geographical measurement scheme data set C = {c 1 , c 2 , …, c i , …, c l}, where c i represents the i-th spatial geographical measurement scheme data, l represents the total number of spatial geographical measurement scheme data, and the spatial geographical measurement scheme data includes, but is not limited to, radar remote sensing acquisition schemes, unmanned aerial vehicle remote sensing acquisition schemes, infrared remote sensing acquisition schemes, and optical remote sensing acquisition schemes;

[0021] S22. Perform measurement scheme data matching processing on the target area spatial geographical feature data B and the spatial geographical measurement scheme data in the spatial geographical measurement scheme data set through the bat optimization algorithm to generate the target area spatial geographical measurement scheme data C mubiao ;

[0022] S221. Construct a measurement scheme search bat population, set the population size as N, the current iteration number as t, the maximum iteration number as t max and the spatial geographical measurement scheme data search space dimension as P;

[0023] Use the spatial geographical measurement scheme data set as the spatial geographical measurement scheme data search space, and randomly generate N spatial geographical measurement scheme data in the spatial geographical measurement scheme data search space. Each spatial geographical measurement scheme data corresponds to a measurement scheme search bat individual in the measurement scheme search bat population;

[0024] S222. Calculate the fitness values of each measurement scheme search bat individual in the measurement scheme search bat population, arrange each measurement scheme search bat individual in the measurement scheme search bat population in descending order according to the fitness values, and select the measurement scheme search bat individual with the highest fitness value as the current optimal individual; the fitness value calculation formula is as follows:

[0025]

[0026] where Fit i represents the fitness value of the i-th measurement scheme search bat individual in the measurement scheme search bat population, represents the value of the n-dimensional feature vector of the target area spatial geographical feature data in the j-th dimension, Denote the value of the n - dimensional feature vector of the spatial - geographical feature data applicable to the spatial - geographical measurement - scheme data corresponding to the i - th measurement - scheme - searching bat individual in the measurement - scheme - searching bat population as, and φ represents the correction value;

[0027] S223. Each measurement - scheme - searching bat individual in the measurement - scheme - searching bat population updates its own speed and position in the search space of the spatial - geographical measurement - scheme data through its own pulse frequency and the position of the current optimal individual; the update formulas for speed and position are as follows:

[0028]

[0029] where, f i represents the pulse frequency of the i - th measurement - scheme - searching bat individual in the measurement - scheme - searching bat population, f min and f max represent the maximum and minimum values of the pulse frequency respectively, rand 1 represents a random number uniformly distributed between [0, 1], X best represents the position of the current optimal individual, and represent the current speed and the updated speed of the i - th measurement - scheme - searching bat individual in the measurement - scheme - searching bat population respectively, and represent the current position and the updated position of the i - th measurement - scheme - searching bat individual in the measurement - scheme - searching bat population respectively;

[0030] S224. Calculate the fitness value of each measurement - scheme - searching bat individual in the measurement - scheme - searching bat population after update. If the fitness value of a measurement - scheme - searching bat individual after update is greater than the fitness value of its original position, replace the original position with the new position; otherwise, retain the original position;

[0031] Re - arrange each measurement - scheme - searching bat individual in the measurement - scheme - searching bat population in descending order according to the fitness value, and select the measurement - scheme - searching bat individual with the highest fitness value as the new current optimal individual;

[0032] S225. Generate a random number rand 2 uniformly distributed between [0, 1]. If the pulse emission rate of a measurement - scheme - searching bat individual is greater than the random number rand 2 , then this measurement - scheme - searching bat individual performs random perturbation around the current optimal individual in the search space of the spatial - geographical measurement - scheme data; otherwise, directly enter S228; the random - perturbation formula is as follows:

[0033]

[0034] wherein, represents the position of the i-th measurement scheme search bat individual in the bat population after random perturbation around the current optimal individual, and rand 3 represents a random number uniformly distributed between [-1, 1], represents the average pulse loudness of the measurement scheme search bat population in the t-th iteration process, r i t represents the pulse emission rate of the i-th measurement scheme search bat individual in the measurement scheme search bat population in the t-th iteration process;

[0035] S226. Calculate the fitness value of each measurement scheme search bat individual in the measurement scheme search bat population after random perturbation around the current optimal individual;

[0036] S227. Generate another random number rand uniformly distributed between [0, 1] 4 , if the pulse loudness of the measurement scheme search bat individual is greater than the random number rand 4 and the fitness value of the measurement scheme search bat individual after random perturbation around the current optimal individual is greater than the fitness value of the current optimal individual, then take this measurement scheme search bat individual as the new current optimal individual, and update the pulse loudness and pulse emission rate of this measurement scheme search bat individual; otherwise, do not accept all new positions and directly go to S228; the update formulas for the pulse loudness and pulse emission rate are as follows:

[0037]

[0038] wherein, rand 5 represents a random number uniformly distributed between [0, 1], represents the updated pulse loudness of the i-th measurement scheme search bat individual in the measurement scheme search bat population, represents the pulse loudness of the i-th measurement scheme search bat individual in the measurement scheme search bat population in the t-th iteration process, r i new represents the updated pulse emission rate of the i-th measurement scheme search bat individual in the measurement scheme search bat population, r i 0 represents the initial pulse emission rate of the i-th measurement scheme search bat individual in the measurement scheme search bat population, rand 6 represents a random number greater than 0;

[0039] S228. Determine whether the current iteration number t is less than the maximum iteration number t max, if the current iteration number t is less than the maximum iteration number t max , then the current iteration number t is incremented by 1, and S223 is returned; otherwise, the current optimal individual is used as the global optimal solution, the spatial geographical measurement scheme data corresponding to the global optimal solution is output and data identification is performed to generate the target area spatial geographical measurement scheme data C mubiao .

[0040] Through the bat optimization algorithm, the spatial geographical feature data of the target area is matched with the scientifically preset spatial geographical measurement scheme data to quickly and accurately match the spatial geographical measurement scheme that conforms to the spatial geographical features of the target area, ensuring the quality of the acquired image data, and at the same time accelerating the convergence speed of the matching process to ensure the accuracy and reliability of the matching result.

[0041] Preferably, the specific steps of generating the target area spatial geographical measurement image data by collecting the image data of the target area in real time according to the target area spatial geographical measurement scheme data are as follows:

[0042] S31. The spatial geographical measurement data acquisition platform collects the image data in the target area in real time according to the target area spatial geographical measurement scheme data to generate the target area spatial geographical measurement image data D.

[0043] Preferably, the specific steps of preprocessing the target area spatial geographical measurement image data to generate the target area spatial geographical measurement image feature data are as follows:

[0044] S41. Perform data noise reduction processing on the target area spatial geographical measurement image data through the weighted average filtering method to generate the target area spatial geographical measurement image feature data

[0045] Perform data noise reduction processing on the target area spatial geographical measurement image data through the weighted average filtering algorithm, effectively identify and remove the noise in the target area spatial geographical measurement image data, and improve the accuracy of the acquired image data.

[0046] Preferably, the specific steps of performing coordinate position matching processing on the target area spatial geographical measurement image feature data and the spatial geographical map data to generate the target area spatial geographical image mapping position data are as follows:

[0047] S51. Construct the map data of the spatial geographical measurement area through the spatial geographical measurement data acquisition platform to generate the spatial geographical map data E;

[0048] S52. Use the least squares method to process the target area spatial geographical measurement image feature data Perform coordinate matching processing with the spatial geographic map data E to match the spatial geographic measurement image feature data of the target area, and generate the target area spatial geographic image mapping position data F corresponding to the map coordinates of the pixel coordinates of in the spatial geographic map data E. Generate the target area spatial geographic image mapping position data F corresponding to the map coordinates of the pixel coordinates of in the spatial geographic map data E.

[0049] Precisely match the position of the spatial geographic measurement image data of the target area in the spatial geographic map data through the least squares method.

[0050] Preferably, the specific steps for updating the spatial geographic map data according to the target area spatial geographic image mapping position data are as follows:

[0051] S61. The spatial geographic measurement data acquisition platform superimposes the spatial geographic measurement image feature data of the target area on the corresponding map coordinate positions in the spatial geographic map data E according to the target area spatial geographic image mapping position data F, and updates the spatial geographic map data E to obtain the updated spatial geographic map data. Superimpose the spatial geographic measurement image feature data of the target area on the corresponding map coordinate positions in the spatial geographic map data E according to the target area spatial geographic image mapping position data F, and update the spatial geographic map data E to obtain the updated spatial geographic map data.

[0052] Accurately map the spatial geographic measurement image data of the target area to the corresponding positions in the spatial geographic map data according to the target area spatial geographic image mapping position data, and intuitively and three-dimensionally display the position and spatial geographic features of the target area in the spatial geographic map data.

[0053] Preferably, the specific steps for repeating the steps in S1 to S6 until the spatial geographic measurement data acquisition operation is completed and generating the spatial geographic measurement data and pushing it to the spatial geographic measurement data acquisition platform are as follows:

[0054] S71. Repeat the steps in S1 to S6 until all the spatial geographic measurement sub-areas in the spatial geographic measurement sub-area set are traversed, complete the spatial geographic measurement data acquisition operation, and use the spatial geographic map data obtained after the last update as the spatial geographic measurement data Q celiang ;

[0055] S72. Push the spatial geographic measurement data Q to the spatial geographic measurement data acquisition platform through the wireless communication network and display it on the display screen. celiang Push the spatial geographic measurement data Q to the spatial geographic measurement data acquisition platform through the wireless communication network and display it on the display screen.

[0056] The present invention also includes a spatial geographic measurement data acquisition system based on wireless remote sensing, which includes a target area spatial geographic feature data acquisition module, a target area spatial geographic measurement scheme matching module, a target area spatial geographic measurement image acquisition module, a target area spatial geographic measurement image preprocessing module, a target area spatial geographic image mapping position matching module, a spatial geographic map data update module, and a spatial geographic measurement data push module;

[0057] The target area spatial geographic feature data acquisition module divides the spatial geographic measurement area into several spatial geographic measurement sub-areas according to the terrain features, randomly selects any one of the spatial geographic measurement sub-areas as the target area, and online acquires the spatial geographic feature data of the target area through the spatial geographic measurement data acquisition platform to generate the target area spatial geographic feature data;

[0058] The target area spatial geographic measurement scheme matching module performs measurement scheme data matching processing on the target area spatial geographic feature data and the established spatial geographic measurement scheme data through the bat optimization algorithm to generate the target area spatial geographic measurement scheme data;

[0059] The target area spatial geographic measurement image acquisition module acquires the image data within the target area in real time according to the target area spatial geographic measurement scheme data to generate the target area spatial geographic measurement image data;

[0060] The target area spatial geographic measurement image preprocessing module performs data noise reduction processing on the target area spatial geographic measurement image data through the weighted average filtering method to generate the target area spatial geographic measurement image feature data;

[0061] The target area spatial geographic image mapping position matching module performs coordinate matching processing on the target area spatial geographic measurement image feature data and the constructed spatial geographic map data by using the least squares method, matches the map coordinates corresponding to the pixel coordinates of the target area spatial geographic measurement image feature data in the spatial geographic map data, and generates the target area spatial geographic image mapping position data;

[0062] The spatial geographic map data update module superimposes the target area spatial geographic measurement image feature data on the corresponding map coordinate position in the spatial geographic map data according to the target area spatial geographic image mapping position data, updates the spatial geographic map data, and obtains the updated spatial geographic map data;

[0063] After completing the spatial geographic measurement data acquisition operation, the spatial geographic measurement data push module generates the spatial geographic measurement data, and pushes the spatial geographic measurement data to the spatial geographic measurement data acquisition platform through the wireless communication network and displays it on the display screen.

[0064] (III) Beneficial effects

[0065] 1. In the present invention, by precisely matching the collected spatial geographical feature data of the target area with the scientifically preset spatial geographical measurement scheme data, the spatial geographical measurement scheme data of the target area is generated. According to the spatial geographical measurement scheme data of the target area, the image data of the target area is collected in real time and data preprocessing is performed to generate the spatial geographical measurement image feature data of the target area. The coordinate position of the spatial geographical measurement image feature data of the target area in the spatial geographical map data is accurately matched, the spatial geographical image mapping position data of the target area is generated, and the spatial geographical map data is updated to obtain the updated spatial geographical map data. The operation is repeated until the spatial geographical measurement data collection operation is completed, and then the spatial geographical measurement data is generated and pushed to the spatial geographical measurement data collection platform, realizing the precise collection of spatial geographical measurement data;

[0066] 2. Through the bat optimization algorithm, the measurement scheme data matching process is carried out on the spatial geographical feature data of the target area and the scientifically preset spatial geographical measurement scheme data, quickly and accurately matching the spatial geographical measurement scheme that conforms to the spatial geographical features of the target area, ensuring the quality of the obtained image data, and at the same time accelerating the convergence speed of the matching process, ensuring the accuracy and reliability of the matching result;

[0067] 3. Through the weighted average filtering algorithm, data denoising processing is carried out on the spatial geographical measurement image data of the target area, effectively identifying and removing the noise in the spatial geographical measurement image data of the target area, and improving the accuracy of the obtained image data;

[0068] 4. Through the least squares method, the position of the spatial geographical measurement image data of the target area in the spatial geographical map data is accurately matched, and according to the matched position, the spatial geographical measurement image data of the target area is accurately mapped to the corresponding position in the spatial geographical map data, intuitively and stereoscopically showing the position and spatial geographical features of the target area in the spatial geographical map data. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions of the embodiments of the invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0070] Figure 1 It is a flowchart of a method for collecting spatial geographical measurement data based on wireless remote sensing provided by the present invention;

[0071] Figure 2 Schematic diagram of modules of a spatial geographic measurement data acquisition system based on wireless remote sensing provided by the present invention. Specific implementation manners

[0072] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0073] In the description of the present invention, it should be understood that the terms "openings", "upper", "lower", "top", "middle", "inner", etc. indicating orientations or positional relationships are only for the convenience of describing the invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the invention.

[0074] The first embodiment is as follows:

[0075] Please refer to Figure 1 , a method for acquiring spatial geographic measurement data based on wireless remote sensing, including the following steps:

[0076] S1. Acquire spatial geographic feature data of the target area;

[0077] S11. Divide the spatial geographic measurement area into several spatial geographic measurement sub-areas according to the terrain features, and generate a set A of spatial geographic measurement sub-areas = {a 1 , a 2 , …, a i , …, a k}, where a i represents the i-th spatial geographic measurement sub-area, and k represents the total number of spatial geographic measurement sub-areas;

[0078] S12. Randomly select any one of the spatial geographic measurement sub-areas in the set of spatial geographic measurement sub-areas as the target area, and online acquire the spatial geographic feature data of the target area through the spatial geographic measurement data acquisition platform to generate target area spatial geographic feature data B. The spatial geographic feature data includes but is not limited to terrain data, vegetation data, and area data.

[0079] S2. Perform measurement scheme data matching processing on the target area spatial geographic feature data and the spatial geographic measurement scheme data to generate target area spatial geographic measurement scheme data;

[0080] S21. Establish a set C of spatial geographic measurement scheme data = {c1 , c 2 , …, c i , …, c l}, where c i represents the data of the i-th spatial geographical measurement scheme, l represents the total number of spatial geographical measurement scheme data, and the spatial geographical measurement scheme data includes, but is not limited to, radar remote sensing acquisition scheme, UAV remote sensing acquisition scheme, infrared remote sensing acquisition scheme, and optical remote sensing acquisition scheme;

[0081] S22. Perform measurement scheme data matching processing on the spatial geographical feature data B of the target area and the spatial geographical measurement scheme data in the spatial geographical measurement scheme data set through the bat optimization algorithm to generate the spatial geographical measurement scheme data C of the target area mubiao ;

[0082] S221. Construct a measurement scheme search bat population, set the population size as N, the current iteration number as t, the maximum iteration number as t max and the spatial geographical measurement scheme data search space dimension as P;

[0083] Use the spatial geographical measurement scheme data set as the spatial geographical measurement scheme data search space, randomly generate N pieces of spatial geographical measurement scheme data in the spatial geographical measurement scheme data search space, and each piece of spatial geographical measurement scheme data corresponds to a measurement scheme search bat individual in the measurement scheme search bat population;

[0084] S222. Calculate the fitness value of each measurement scheme search bat individual in the measurement scheme search bat population, arrange each measurement scheme search bat individual in the measurement scheme search bat population in descending order according to the fitness value, and select the measurement scheme search bat individual with the highest fitness value as the current optimal individual; the fitness value calculation formula is as follows:

[0085]

[0086] where Fit i represents the fitness value of the i-th measurement scheme search bat individual in the measurement scheme search bat population, represents the value of the n-dimensional feature vector of the spatial geographical feature data of the target area in the j-th dimension, represents the value of the n-dimensional feature vector of the spatial geographical feature data applicable to the spatial geographical measurement scheme data corresponding to the i-th measurement scheme search bat individual in the measurement scheme search bat population in the j-th dimension, and φ represents the correction value;

[0087] S223. Each bat individual in the measurement scheme search bat population updates its own speed and position in the spatial geographical measurement scheme data search space through its own pulse frequency and the position of the current optimal individual. The update formulas for speed and position are as follows:

[0088]

[0089] where f i represents the pulse frequency of the i-th bat individual in the measurement scheme search bat population, f min and f max represent the maximum and minimum values of the pulse frequency respectively, rand 1 represents a random number uniformly distributed between [0, 1], X best represents the position of the current optimal individual, and represent the current speed and the updated speed of the i-th bat individual in the measurement scheme search bat population respectively, and represent the current position and the updated position of the i-th bat individual in the measurement scheme search bat population respectively;

[0090] S224. Calculate the fitness value of each bat individual in the measurement scheme search bat population after update. If the fitness value of a bat individual after update is greater than the fitness value of its original position, replace the original position with the new position; otherwise, keep the original position;

[0091] Re-arrange each bat individual in the measurement scheme search bat population in descending order of fitness value, and select the bat individual with the highest fitness value as the new current optimal individual;

[0092] S225. Generate a random number rand 2 uniformly distributed between [0, 1]. If the pulse emission rate of a bat individual is greater than the random number rand 2 , then this bat individual performs random perturbation around the current optimal individual in the spatial geographical measurement scheme data search space; otherwise, directly go to S228. The random perturbation formula is as follows:

[0093]

[0094] where represents the position of the i-th bat individual in the measurement scheme search bat population after random perturbation around the current optimal individual, rand 3represents a random number that follows a uniform distribution between [-1, 1] represents the average pulse loudness of the measurement scheme search bat population during the t-th iteration, r i t represents the pulse emission rate of the i-th measurement scheme search bat individual in the measurement scheme search bat population during the t-th iteration;

[0095] S226. Calculate the fitness values of each measurement scheme search bat individual in the measurement scheme search bat population after random perturbation around the current optimal individual;

[0096] S227. Generate another random number rand that follows a uniform distribution between [0, 1] 4 , if the pulse loudness of a measurement scheme search bat individual is greater than the random number rand 4 and the fitness value of this measurement scheme search bat individual after random perturbation around the current optimal individual is greater than the fitness value of the current optimal individual, then take this measurement scheme search bat individual as the new current optimal individual, and update the pulse loudness and pulse emission rate of this measurement scheme search bat individual; otherwise, do not accept all new positions and directly go to S228; the update formulas for pulse loudness and pulse emission rate are as follows:

[0097]

[0098] where, rand 5 represents a random number that follows a uniform distribution between [0, 1] represents the updated pulse loudness of the i-th measurement scheme search bat individual in the measurement scheme search bat population, represents the pulse loudness of the i-th measurement scheme search bat individual in the measurement scheme search bat population during the t-th iteration, r i new represents the updated pulse emission rate of the i-th measurement scheme search bat individual in the measurement scheme search bat population, r i 0 represents the initial pulse emission rate of the i-th measurement scheme search bat individual in the measurement scheme search bat population, rand 6 represents a random number greater than 0;

[0099] S228. Determine whether the current iteration number t is less than the maximum iteration number t max , if the current iteration number t is less than the maximum iteration number t max, the current iteration number t is incremented by 1, and S223 is returned; otherwise, the current optimal individual is used as the global optimal solution, the spatial geographical measurement scheme data corresponding to the global optimal solution is output and data identification is performed to generate the target area spatial geographical measurement scheme data C mubiao 。

[0100] S3. According to the target area spatial geographical measurement scheme data, the image data of the target area is collected in real time to generate the target area spatial geographical measurement image data;

[0101] S31. The spatial geographical measurement data acquisition platform collects the image data within the target area according to the target area spatial geographical measurement scheme data to generate the target area spatial geographical measurement image data D.

[0102] S4. The data of the target area spatial geographical measurement image data is preprocessed to generate the target area spatial geographical measurement image feature data;

[0103] S41. The data of the target area spatial geographical measurement image data is denoised by the weighted average filtering method to generate the target area spatial geographical measurement image feature data

[0104] S5. The coordinate position matching process is performed on the target area spatial geographical measurement image feature data and the spatial geographical map data to generate the target area spatial geographical image mapping position data;

[0105] S51. The map data of the spatial geographical measurement area is constructed by the spatial geographical measurement data acquisition platform to generate the spatial geographical map data E;

[0106] S52. The least squares method is used to match the coordinate of the target area spatial geographical measurement image feature data and the spatial geographical map data E, and the map coordinates corresponding to the pixel coordinates of the target area spatial geographical measurement image feature data in the spatial geographical map data E are matched to generate the target area spatial geographical image mapping position data F.

[0107] S6. The spatial geographical map data is updated according to the target area spatial geographical image mapping position data to obtain the updated spatial geographical map data;

[0108] S61. The spatial geographical measurement data acquisition platform uses the target area spatial geographical image mapping position data F to process the target area spatial geographical measurement image feature data Overlay it to the corresponding map coordinate position in the spatial geographic map data E, update the spatial geographic map data E, and obtain the updated spatial geographic map data.

[0109] S7. Repeat the steps in S1 to S6 until the spatial geographic measurement data collection operation is completed, then generate the spatial geographic measurement data and push it to the spatial geographic measurement data collection platform;

[0110] S71. Repeat the steps in S1 to S6 until all the spatial geographic measurement sub-regions in the spatial geographic measurement sub-region set are traversed, then complete the spatial geographic measurement data collection operation, and use the spatial geographic map data obtained after the last update as the spatial geographic measurement data Q celiang ;

[0111] S72. Push the spatial geographic measurement data Q celiang to the spatial geographic measurement data collection platform through the wireless communication network and display it on the display screen.

[0112] The second embodiment is as follows:

[0113] Please refer to Figure 2 , a spatial geographic measurement data collection system based on wireless remote sensing, including a target area spatial geographic feature data collection module, a target area spatial geographic measurement scheme matching module, a target area spatial geographic measurement image collection module, a target area spatial geographic measurement image preprocessing module, a target area spatial geographic image mapping position matching module, a spatial geographic map data update module, and a spatial geographic measurement data push module;

[0114] The target area spatial geographic feature data collection module divides the spatial geographic measurement area into several spatial geographic measurement sub-regions according to the terrain features, randomly selects any one of the spatial geographic measurement sub-regions as the target area, and online collects the spatial geographic feature data of the target area through the spatial geographic measurement data collection platform to generate the target area spatial geographic feature data;

[0115] The target area spatial geographic measurement scheme matching module performs measurement scheme data matching processing on the target area spatial geographic feature data and the established spatial geographic measurement scheme data through the bat optimization algorithm to generate the target area spatial geographic measurement scheme data;

[0116] The target area spatial geographic measurement image collection module collects the image data in the target area in real time according to the target area spatial geographic measurement scheme data to generate the target area spatial geographic measurement image data;

[0117] The target area spatial geographic measurement image preprocessing module performs data denoising processing on the target area spatial geographic measurement image data through a weighted average filtering method, and generates target area spatial geographic measurement image feature data;

[0118] The target area spatial geographic image mapping position matching module uses the least squares method to perform coordinate matching processing on the target area spatial geographic measurement image feature data and the constructed spatial geographic map data, matches the map coordinates corresponding to the pixel coordinates of the target area spatial geographic measurement image feature data in the spatial geographic map data, and generates target area spatial geographic image mapping position data;

[0119] The spatial geographic map data updating module superimposes the target area spatial geographic measurement image feature data on the corresponding map coordinate positions in the spatial geographic map data according to the target area spatial geographic image mapping position data, updates the spatial geographic map data, and obtains the updated spatial geographic map data;

[0120] After completing the spatial geographic measurement data acquisition operation, the spatial geographic measurement data pushing module generates spatial geographic measurement data, and pushes the spatial geographic measurement data to the spatial geographic measurement data acquisition platform through a wireless communication network and displays it on a display screen.

[0121] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0122] The preferred embodiments of the invention disclosed above are only used to help explain the invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. The embodiments selected and specifically described in this specification are to better explain the principles and practical applications of the invention, so that those skilled in the art can understand and utilize the invention well.

Claims

1. A spatial geographic measurement data acquisition method based on wireless remote sensing, characterized in that: The steps include: S1. Collect spatial geographic feature data of the target area; S2, performing measurement scheme data matching processing on the spatial geographic feature data of the target area and the spatial geographic measurement scheme data to generate the spatial geographic measurement scheme data of the target area; S3, collecting image data of the target area in real time according to the spatial geographic measurement plan data of the target area, and generating spatial geographic measurement image data of the target area; S4, performing data preprocessing on the spatial geographic measurement image data of the target area to generate spatial geographic measurement image feature data of the target area; S5, performing coordinate position matching processing on the spatial geographic measurement image feature data of the target area and the spatial geographic map data to generate spatial geographic image mapping position data of the target area; S6, updating the spatial geographic map data according to the spatial geographic image mapping position data of the target area to obtain updated spatial geographic map data; S7. Repeat steps S1 to S6 until the spatial geographic measurement data collection operation is completed, generate spatial geographic measurement data and push it to the spatial geographic measurement data collection platform.

2. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 1, characterized in that: The S1 comprises the following steps: S11. Divide the spatial geographic measurement area into a plurality of spatial geographic measurement sub-areas according to the terrain characteristics, and generate a set of spatial geographic measurement sub-areas, wherein represents the th spatial geographic measurement sub-area, and represents the total number of spatial geographic measurement sub-areas; S12. Randomly select any one of the spatial geographic measurement sub-areas in the spatial geographic measurement sub-area set as the target area, and collect the spatial geographic feature data of the target area online through the spatial geographic measurement data collection platform to generate the spatial geographic feature data of the target area, wherein the spatial geographic feature data includes but is not limited to terrain data, vegetation data and area data.

3. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 2, characterized in that: The S2 comprises the following steps: S21, establishing a spatial geographic measurement scheme data set, wherein represents the spatial geographic measurement scheme data, represents the total number of spatial geographic measurement scheme data, and the spatial geographic measurement scheme data includes but is not limited to radar remote sensing acquisition scheme, unmanned aerial vehicle remote sensing acquisition scheme, infrared remote sensing acquisition scheme and optical remote sensing acquisition scheme; S22. Perform measurement scheme data matching processing on the target area spatial geographic feature data and the spatial geographic measurement scheme data in the spatial geographic measurement scheme data set through a bat optimization algorithm to generate the target area spatial geographic measurement scheme data.

4. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 3 is characterized in that: The S22 comprises the following steps: S221, construct a measurement scheme to search for bat populations, set the population size to be, the current number of iterations to be, the maximum number of iterations to be, and the spatial dimension of the spatial geographic measurement scheme data search to be; Using the spatial geographic measurement scheme data set as a spatial geographic measurement scheme data search space, randomly generating spatial geographic measurement scheme data in the spatial geographic measurement scheme data search space, each spatial geographic measurement scheme data corresponding to a measurement scheme search bat individual in the measurement scheme search bat population; S222, calculating the fitness value of each measurement scheme search bat individual in the measurement scheme search bat population, arranging each measurement scheme search bat individual in the measurement scheme search bat population from large to small according to the fitness value, and selecting the measurement scheme search bat individual with the highest fitness value as the current optimal individual; S223, each measurement scheme searching bat individual in the measurement scheme searching bat population updates its own speed and position in the spatial geographic measurement scheme data search space according to its own pulse frequency and the position of the current optimal individual; S224, calculating the updated fitness value of each measurement scheme search bat individual in the measurement scheme search bat population, if the updated fitness value of the measurement scheme search bat individual is greater than the fitness value of the original position, replacing the original position with the new position; otherwise, retaining the original position; Rearranging the measurement scheme search bat individuals in the measurement scheme search bat population from large to small according to fitness values, and selecting the measurement scheme search bat individual with the highest fitness value as the new current optimal individual; S225, generating a random number that obeys a uniform distribution between [0,1], if the pulse emission rate of the bat individual searched by the measurement scheme is greater than the random number, the bat individual searched by the measurement scheme is randomly disturbed around the current optimal individual in the spatial geographic measurement scheme data search space; otherwise, directly enter S228; S226, calculating the fitness value of each measurement scheme searching bat individual in the measurement scheme searching bat population after random disturbance around the current optimal individual; S227, regenerate a random number that obeys a uniform distribution between [0,1]. If the pulse loudness of the bat individual searched by the measurement scheme is greater than the random number and the fitness value of the bat individual searched by the measurement scheme after random perturbation around the current optimal individual is greater than the fitness value of the current optimal individual, then the bat individual searched by the measurement scheme is used as the new current optimal individual, and the pulse loudness and pulse emission rate of the bat individual searched by the measurement scheme are updated; otherwise, do not accept all new positions and directly enter S228; S228. Determine whether the current number of iterations is less than the maximum number of iterations. If so, add 1 to the current number of iterations and return to S223. Otherwise, take the current optimal individual as the global optimal solution, output the spatial geographic measurement scheme data corresponding to the global optimal solution, perform data identification, and generate the spatial geographic measurement scheme data for the target area.

5. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 4, characterized in that: The S3 comprises the following steps: S31. The spatial geographic measurement data acquisition platform acquires image data in the target area in real time according to the spatial geographic measurement plan data of the target area, and generates spatial geographic measurement image data of the target area.

6. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 5, characterized in that: The S4 comprises the following steps: S41, performing data noise reduction processing on the spatial geographic measurement image data of the target area by weighted average filtering method to generate spatial geographic measurement image feature data of the target area.

7. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 6, characterized in that: The S5 comprises the following steps: S51, constructing map data of the spatial geographic measurement area through a spatial geographic measurement data acquisition platform to generate spatial geographic map data; S52, using the least squares method to perform coordinate matching processing on the spatial geographic measurement image feature data of the target area and the spatial geographic map data, matching the map coordinates corresponding to the pixel coordinates of the spatial geographic measurement image feature data of the target area in the spatial geographic map data, and generating the spatial geographic image mapping position data of the target area.

8. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 7, characterized in that: The S6 comprises the following steps: S61. The spatial geographic measurement data acquisition platform superimposes the spatial geographic measurement image feature data of the target area to the corresponding map coordinate position in the spatial geographic map data according to the spatial geographic image mapping position data of the target area, updates the spatial geographic map data, and obtains updated spatial geographic map data.

9. The method for collecting spatial geographic measurement data based on wireless remote sensing according to claim 8, characterized in that: The S7 comprises the following steps: S71, repeating steps S1 to S6 until all the spatial geographic measurement sub-areas in the spatial geographic measurement sub-area set are traversed, the spatial geographic measurement data collection operation is completed, and the spatial geographic map data obtained after the last update is used as the spatial geographic measurement data; S72: Push the spatial geographic measurement data to a spatial geographic measurement data acquisition platform via a wireless communication network and display it on a display screen.

10. A system for implementing the spatial geographic measurement data acquisition method based on wireless remote sensing as claimed in any one of claims 1 to 9.

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