CN-122023657-A - Data analysis method, system and electronic equipment based on land planning and mapping

CN122023657ACN 122023657 ACN122023657 ACN 122023657ACN-122023657-A

Abstract

The embodiment of the application relates to a data analysis method, a system and electronic equipment based on land planning and mapping, which belong to the technical field of electronic data processing and measurement planning, and comprise the following steps: measuring a target area to obtain a first mapping image and spatial data, generating a spatial coordinate data set, extracting a multi-dimensional characteristic value of the first mapping image, comparing the multi-dimensional characteristic value with a preset characteristic threshold value, adaptively selecting a target method from a plurality of quality evaluation methods according to a comparison result, calculating a quantized quality evaluation value, screening out a second mapping image and related spatial data thereof, respectively analyzing spatial geometric structure information and analysis image sequence related information, and generating a fusion data result representing land planning mapping elements. The embodiment of the application improves the automation degree and the result precision of data processing, and realizes the efficient and intelligent conversion from the original acquisition of land planning and mapping data to the structured result.

Inventors

LI SONG
ZHAO JIANHENG
SHI LING
ZHANG YONG
JIANG XIAOLI
SHI MAN
DU JIAHUI
KANG XI

Assignees

明图勘测设计有限公司

Dates

Publication Date: 20260512
Application Date: 20260130

Claims (10)

1. A data analysis method based on land planning and mapping, comprising: measuring a target area of land planning and mapping to obtain a first mapping image and space data, correlating and mapping the first mapping image and the space data into space coordinates to form a space coordinate data set, and uploading the space coordinate data set to a remote data processing end in real time; the remote data processing end receives the space coordinate data set, performs space-time reference unified processing on the space coordinate data set, performs multidimensional feature analysis and extraction on a first mapping image in the space coordinate data set, and generates multidimensional feature values; Performing comparison calculation on the multi-dimensional feature value and a preset feature threshold value, generating a comparison result, and adaptively selecting a target evaluation method from a plurality of preset operation methods for evaluating image quality according to the comparison result to obtain a quantized quality evaluation value of a first mapping image; And screening a second mapping image from the space coordinate data set based on the quantitative quality evaluation value, inputting the second mapping image into a fusion calculation model, wherein the fusion calculation model comprises a space feature extraction branch and a sequence feature extraction branch, analyzing geometric and structural information of the space coordinate data set through the space feature extraction branch, and/or analyzing dynamic association information of the space coordinate data set through the sequence feature extraction branch to generate a fusion data result, wherein the fusion data result is used for representing specific data elements of land planning mapping.
2. The data analysis method based on land planning and mapping according to claim 1, wherein the target area of the land planning and mapping is measured based on a spatial data acquisition means including a range finder for acquiring linear distance measurement values of the target area, a GPS area measurement instrument for acquiring boundary trajectories of the target area based on GPS and calculating an area of the target area, or a three-dimensional laser scanning unit for acquiring three-dimensional point cloud data of a surface of the target area.
3. The data analysis method based on land planning and mapping of claim 1, wherein the remote data processing end receives the spatial coordinate data set, performs space-time reference unified processing on the spatial coordinate data set, performs multidimensional feature analysis and extraction on a first mapping image in the spatial coordinate data set, generates a multidimensional feature value, and further comprises: the remote data processing end receives the space coordinate data set, performs space-time reference unified processing on space data in the space coordinate data set through coordinate conversion and time stamp alignment based on a preset national geodetic coordinate system, and generates a standard data set with a unified space-time reference system; performing multidimensional feature analysis and extraction on the first mapping image in the standard dataset, and calculating a color histogram statistic value, a local binary pattern histogram and a gradient direction histogram from the dimensions of a color space, texture distribution and edge gradients respectively to generate corresponding multidimensional feature values; Inputting the multi-dimensional feature values into a preset feature evaluation model, calculating the matching degree of the multi-dimensional feature values and a preset feature template through a forward propagation mode based on a built-in multi-layer perception mechanism, fusing the matching degree corresponding to the multi-dimensional feature values through a normalization weighting function, and outputting the comprehensive feature quantized value of the first mapping image.
4. The data analysis method based on land planning and mapping according to claim 1, wherein the comparing the multi-dimensional feature value with a preset feature threshold value to generate a comparison result, adaptively selecting a target evaluation method from a plurality of preset operation methods for evaluating image quality according to the comparison result, and obtaining a quantized quality evaluation value of a first mapping image, further comprises: Performing dimension-by-dimension comparison on the extracted multi-dimensional feature values and a preset multi-dimensional feature threshold vector, obtaining a feature saliency index array by calculating the ratio of the value of each feature dimension to a corresponding threshold, and taking an out-of-standard identifier of the feature saliency index array as a preliminary comparison result; Analyzing a combination mode of the exceeding identifier through a preset decision tree model according to the preliminary comparison result, wherein the decision tree model is obtained based on historical application scene data training, and calculating a target quality evaluation method index of the current combination mode according to the decision tree model; And calling a corresponding evaluation algorithm program based on the target quality evaluation method index, and carrying out weighted fusion or transformation operation on the multi-dimensional characteristic values through the evaluation algorithm program to calculate the comprehensive quantization quality evaluation value of the first mapping image.
5. The data analysis method based on land planning and mapping of claim 4, wherein the feature saliency index array is a sequenced data set composed of ratios of multi-dimensional feature values to corresponding preset thresholds for quantifying the saliency degree of each feature dimension; The standard exceeding identifier is used for marking whether the characteristic significance index exceeds a Boolean variable of a set threshold value, and the combination mode of the standard exceeding identifier is a specific logic state sequence formed by a plurality of standard exceeding identifiers together; the target quality evaluation method index is an identifier output by the decision tree model and is used for pointing to a storage position or a calling number in a preset method library, and the storage position or the calling number is used for storing a specific image quality evaluation algorithm adapted to the current characteristic combination mode; The evaluation algorithm program is an executable computer program module, receives the multidimensional characteristic values as input, performs operation through preset weighting, fusion or mathematical transformation rules, and outputs corresponding comprehensive quantization quality evaluation values.
6. The data analysis method based on land planning and mapping according to claim 1, wherein the second mapping image is screened out from a space coordinate data set based on the quantization quality evaluation value, the second mapping image is input into a fusion calculation model, the fusion calculation model comprises a space feature extraction branch and a sequence feature extraction branch, geometric and structural information of the space coordinate data set is analyzed through the space feature extraction branch, and/or dynamic association information of the space coordinate data set is analyzed through the sequence feature extraction branch, and a fusion data result is generated, wherein the fusion data result is used for representing specific data elements of land planning and mapping, and the data analysis method further comprises the following steps: Screening a second mapping image with the highest quantized quality evaluation value and an associated spatial data subset thereof from the spatial coordinate data set based on the quantized quality evaluation value of the first mapping image; inputting the second mapping image and the related spatial data subset thereof into a fusion calculation model, wherein the fusion calculation model is provided with a spatial feature extraction branch and a sequence feature extraction branch, wherein the spatial feature extraction branch analyzes the coordinate and topological relation in the spatial data subset through a geometric feature extraction network and outputs a spatial feature vector; and inputting the space feature vector and the sequence feature vector into a fully connected fusion layer of a fusion calculation model, and performing weighted splicing and nonlinear transformation operation on the fusion layer to generate a fusion data result, wherein the fusion data result is used for representing specific data elements of land planning and mapping of a target area.
7. The method of claim 6, wherein during the step of inputting the second mapping image into the fusion calculation model, the second mapping image and its associated spatial coordinate data set are input into the fusion calculation model, and wherein during the step of screening the second mapping image and its associated spatial data subset, a ranking method and a threshold comparison method are used for screening.
8. A land planning survey based data analysis system for implementing the land planning survey based data analysis method of any of claims 1 to 7, comprising: The system comprises a space coordinate data set generation module, a remote data processing end and a space coordinate data set generation module, wherein the space coordinate data set generation module is used for measuring a target area of land planning and mapping to obtain a first mapping image and space data, correlating and mapping the first mapping image and the space data into space coordinates to form a space coordinate data set, and uploading the space coordinate data set to the remote data processing end in real time; the remote data processing end receives the space coordinate data set, performs space-time reference unified processing on the space coordinate data set, performs multi-dimensional feature analysis and extraction on a first mapping image in the space coordinate data set, and generates multi-dimensional feature values; The quantitative quality evaluation value calculation module is used for comparing the multi-dimensional characteristic value with a preset characteristic threshold value to generate a comparison result, and adaptively selecting a target evaluation method from a plurality of preset operation methods for evaluating the image quality according to the comparison result to obtain a quantitative quality evaluation value of the first mapping image; The mapping image fusion calculation module is used for screening a second mapping image from a space coordinate data set based on the quantitative quality evaluation value, inputting the second mapping image into a fusion calculation model, wherein the fusion calculation model comprises a space feature extraction branch and a sequence feature extraction branch, analyzing geometric and structural information of the space coordinate data set through the space feature extraction branch, and/or analyzing dynamic association information of the space coordinate data set through the sequence feature extraction branch to generate a fusion data result, and the fusion data result is used for representing specific data elements of land planning mapping.
9. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, the memory are in communication with each other via the communication bus, and wherein the memory has a computer program stored therein, which when executed by the processor, causes the processor to perform the steps of the method according to any of claims 1 to 7.
10. A computer readable storage medium, characterized in that it stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method of any one of claims 1 to 7.

Description

Data analysis method, system and electronic equipment based on land planning and mapping Technical Field The embodiment of the application relates to a data analysis method, a system and electronic equipment based on land planning and mapping, and belongs to the technical field of electronic data processing and measurement planning. Background Urban and rural planning and homeland space management are important bases for the development of modern society. Land planning and measurement rely on high-precision mapping of space elements such as land, construction, real estate, etc. In the prior art, the mapping operation is mostly dependent on a single type of measuring instrument (such as a total station and a GNSS receiver) for data acquisition, and a mapping report is formed by means of manual recording and after-hoc finishing, and although the method can acquire basic space coordinates, the problems of separation of data acquisition and recording, long processing flow, poor real-time performance and the like exist, so that the method is difficult to meet the large-scale and high-timeliness planning and monitoring requirements. With the development of remote sensing and information technology, images and space data of a mapping area can be synchronously acquired through unmanned aerial vehicles, satellites and other means. In the prior art, the acquired images and the coordinate data are simply overlapped, and an effective evaluation and screening mechanism for image quality is lacked, so that a database stores a large amount of redundant or low-definition images, a large amount of storage space is occupied, and the calculation burden of subsequent data processing and analysis is increased. Meanwhile, the fusion processing of the image and the space data is mostly dependent on manual discrimination, and a set of standardized method system capable of automatically optimizing high-quality images and realizing intelligent fusion of multi-source data is not formed yet. In view of the foregoing, the prior art has failed to meet the needs of people, and improvements are needed. Disclosure of Invention The embodiment of the application mainly aims to provide a data analysis method, a system and electronic equipment based on land planning and mapping, which are used for solving the technical problems of difficult synchronization of mapping images and spatial data, poor real-time transmission, poor intelligent quality assessment and data fusion effects and low automation degree of data processing in the prior art. The embodiment of the application is realized by adopting the following technical scheme: According to one aspect of the embodiment of the application, a data analysis method based on land planning and mapping is provided, which comprises the steps of measuring a target area of land planning and mapping, obtaining a first mapping image and space data, correlating and mapping the first mapping image and the space data into space coordinates to form a space coordinate data set, and uploading the space coordinate data set to a remote data processing end in real time; the remote data processing end receives the space coordinate data set, performs space-time reference unified processing on the space coordinate data set, performs multi-dimensional feature analysis and extraction on a first mapping image in the space coordinate data set to generate multi-dimensional feature values, performs comparison calculation on the multi-dimensional feature values and a preset feature threshold to generate comparison results, adaptively selects a target evaluation method from a plurality of preset operation methods for evaluating image quality according to the comparison results to obtain a quantized quality evaluation value of the first mapping image, screens a second mapping image from the space coordinate data set based on the quantized quality evaluation value, inputs the second mapping image into a fusion calculation model, wherein the fusion calculation model comprises a space feature extraction branch and a sequence feature extraction branch, analyzes geometric and structural information of the space coordinate data set through the space feature extraction branch, and/or analyzes dynamic association information of the space coordinate data set through the sequence feature extraction branch to generate a fusion data result, and the fusion data result is used for representing specific data elements of land mapping. According to at least one specific implementation of the embodiment of the application, the target area of land planning and mapping is measured based on a spatial data acquisition means, wherein the spatial data acquisition means comprises a range finder, a GPS area measuring instrument or a three-dimensional laser scanning unit, the range finder is used for acquiring linear distance measurement values of the target area, the GPS area measuring instrument is used for acquiring boundary tracks of the target ar