Automatic hidden danger point identification method, electronic equipment and computer readable storage medium
A technology for automatic identification and hidden danger points, applied in computer parts, calculation, scene recognition, etc., can solve problems such as high labor consumption and inaccurate interpretation, and achieve the effect of rapid and dynamic geological monitoring and identification
Active Publication Date: 2022-04-08
CHENGDU UNIVERSITY OF TECHNOLOGY
View PDF18 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
When interpreting the deformation region based on the interferogram, the color mutation region is generally found according to the color change rule of the interferogram winding for manual interpretation, but there are problems such as large manpower consumption and inaccurate interpretation in the interpretation process
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment
[0051] see figure 1 , figure 2 , figure 1 Shown is a step diagram of a hidden danger point automatic identification method according to an embodiment of the present invention; figure 2 Shown is a schematic structural block diagram of a method for automatic identification of hidden danger points according to an embodiment of the present invention.
[0052] The application provides a method for automatic identification of hidden danger points, which includes the following steps:
[0053] S1. Collect SAR data and DEM data covering the target area;
[0054] S2. Preprocessing the SAR data and DEM data, and performing differential interference processing on the SAR data based on the DEM data to obtain an interference result;
[0055] S3. Using the Sobel gradient operator function model to perform gradient calculation on the interference result to obtain the calculation result;
[0056] S4. Perform error removal processing on the calculation result to obtain a removal result; ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a hidden danger point automatic identification method, electronic equipment and a computer readable storage medium, and relates to the technical field of geological monitoring, and the method comprises the steps: collecting SAR data and DEM data covering a target area; preprocessing the SAR data and the DEM data, and performing differential interference processing on the SAR data based on the DEM data to obtain an interference result; performing gradient operation on the interference result by using a Sobel gradient operator function model to obtain an operation result; performing error removal processing on the operation result to obtain a removal result; automatically counting removal results in batches by using an arcgis model builder, and extracting a deformed area in the removal results for identification; according to the method, a proper gradient function model is designed, gradient operation is carried out based on an interferometric phase, threshold segmentation is carried out after noise influence is removed, and then hidden danger point automatic interpretation based on a gradient algorithm is realized, so that early-stage rapid and dynamic geological monitoring identification of hidden dangers is realized.
Description
technical field [0001] The invention relates to the technical field of geological monitoring, in particular to an automatic identification method for hidden danger points. Background technique [0002] China has a vast territory, varied topography, and frequent occurrence of geological disasters, which seriously threaten the safety of people's lives and property, especially in hidden dangers. Due to the suddenness and uncertainty of disasters at hidden danger points, archival optical remote sensing is mainly used to trace the evolution of hidden danger points before disasters. Optical remote sensing has the characteristics of wide coverage and large spectral range, but the acquisition time interval is long, the image is greatly affected by clouds and fog, and the spatial resolution is not high enough, so it can only conduct simple qualitative analysis and interpretation of hidden danger points. The interferometric synthetic aperture radar (InSAR) technology based on radar r...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/13G06V10/44G06V10/82G06T7/33G06N3/04G01S13/90
Inventor 戴可人沈月吴明堂冯文凯
Owner CHENGDU UNIVERSITY OF TECHNOLOGY