Mining area distribution thematic information extraction method based on multi-source remote sensing images

Abstract

The invention provides a mining area distribution thematic information extraction method based on multi-source remote sensing images, comprising extracting land subsidence information, calculating uplift information characteristics of target area according to radiant value of remote sensing image interferogram of target area, dividing possible mining area according to sudden change characteristicsof uplift, and further identifying combined with radar image, extracting land subsidence information; establishing a thematic semantic model of mining area, and adopting the probabilistic latent semantic analysis method to model the latent semantics, and the scene of mining area is expressed by the feature vector of latent semantics; extracting information from multi-source remote sensing imagesof mining area. The invention not only greatly reduces the cost, but also is convenient to operate and greatly improves the working efficiency by using the mode of combining the multi-source optical images and the radar images. For the influence of vegetation, the vegetation index is used to extract the thematic information from the non-vegetation-covered area.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a method for extracting thematic information of mining area distribution based on multi-source remote sensing images. Background technique [0002] Remote sensing monitoring of mining areas is an important national economic investigation work, one of the important means for mining administration departments to grasp the development status of mineral resources and the geological environment of mining areas, and an important task of land and resources investigation. Therefore, a variety of methods are used in various fields to extract mining areas. In the field of remote sensing, radar images or optical images are used for information extraction, and remarkable results have been achieved. [0003] Thematic information extraction of remote sensing mining areas used to be mainly visual interpretation, identifying mining areas on remote sensing images, suppleme...

AI Technical Summary

Problems solved by technology

In mining area deformation monitoring based on DInSAR technology, GeL, Chang HC, Janssen V, Rizos C. Integration of GPS, radar interferometry and GIS for ground deformation monitoring. GPS Solutions, 2003, 7 (1): 52-54 disclosed a The closest solution is to directly use differential interferometric radar and GPS technology to extract the area of ​​surface deformation, and then superimpose aerial images to determine the location of the mining area. However, visual interpretation alone requires a lot of manpower, material resources and low work efficiency. Tablets are more expensive

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