A mining area distribution information extraction method and system based on DInSAR and DCNN

Abstract

The invention provides a mining area distribution information extraction method and system based on DInSAR and DCNN. The method comprises the following steps: firstly, based on two radar images with acertain time interval of Huainan city sentry No.1 and a digital elevation model of a target area, carrying out differential interferometry to obtain an interferogram and a deformation graph of the target area; secondly, acquiring settlement information characteristics by utilizing the surface deformation map, and dividing an area which may be a mining area according to the sudden change characteristics of settlement; and finally, carrying out water body elimination and bare land and building identification in combination with the high-resolution remote sensing optical image so as to obtain anopen-pit mine area distribution information graph of the target area. The method has the beneficial effects that the DInSAR is used as a coarse extraction mode of mining area distribution informationextraction, possible mining areas are extracted through threshold segmentation, and water bodies and mining area scenes are removed by using optical images; the whole process is high in automation degree and high in precision.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a mining area distribution information extraction method and system 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, important resources and valuable wealth of the country, and are related to the lifeline of the country's economy and national security. With the rapid development of the national economy, the demand for mineral resources is increasing, but due to the characteristics of non-renewable and scarce mineral resources and the strict licensing system implemented by the state 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, a...

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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