Method and system for mining area distribution information extraction based on dinsar and dcnn

Abstract

The present invention provides a mining area distribution information extraction method and system based on DInSAR and DCNN. The method includes: firstly, based on two radar images with a certain time interval of Sentinel No. 1 in Huainan City and the digital elevation model of the target area, the difference is performed. Interferometry, to obtain the interferogram and deformation map of the target area; then, use the surface deformation map to obtain the characteristics of the subsidence information, and divide the area that may be a mining area according to the sudden change characteristics of the subsidence; finally, combined with high-resolution remote sensing optical images for water body analysis Eliminate and identify bare land and buildings, and then obtain an information map of the distribution of open-pit mining areas in the target area. The beneficial effects of the present invention are: the present invention cites DInSAR as a rough extraction method for extracting mining area distribution information, extracts possible mining areas through threshold segmentation, and uses optical images to eliminate water bodies and extract mining area scenes; finally determine the distribution of mining areas Information, the whole process is highly automated and precise.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for extracting mining area distribution information based on DInSAR and DCNN. Background technique [0002] Mineral resources are used in all aspects of industry, agriculture, science and technology and daily life. They are an important material basis for human production and life, an important resource and precious wealth of the country, and are related to the national economic lifeline and national security. With the rapid development of the national economy, the demand for mineral resources is increasing. However, due to the characteristics of non-renewability and scarcity of mineral resources and the country's strict licensing system for mining mineral resources, some lawbreakers have not obtained mining licenses. Without authorization, mining mineral resources without authorization, seeking illegal profits, destroying mineral resources, seriously disruptin...

AI Technical Summary

Problems solved by technology

With the rapid development of the country's economy, the demand for mineral resources is increasing. However, due to the characteristics of non-renewable and scarce mineral resources and the country's strict licensing system for mining mineral resources, some criminals have not obtained mining licenses. Unauthorized mining of mineral resources, seeking illegal profits, destroying mineral resources, seriously disturbed the normal mining order, and also gave rise to a series of problems: surface subsidence, land desertification, etc., which will seriously cause mountain cracks, collapses, and landslides , debris flow, earthquake (mine) and other secondary geological disasters

SAR has the characteristics of providing monitoring data all-weather and all-weather, and the image structure information is good. The disadvantage is single-band imaging, which is rich in texture information and lacks multi-spectral information, which is complementary to optical images.

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