Landslide detection method, device and equipment and storage medium

Abstract

The embodiment of the invention provides a landslide detection method, device and equipment and a storage medium, and relates to the technical field of geological disaster prediction, and the method comprises the steps: obtaining pre-earthquake and post-earthquake remote sensing images of a to-be-detected region from an optical remote sensing image system, carrying out the registration, and carrying out the change detection of the post-earthquake remote sensing image according to the registered pre-earthquake remote sensing image; extracting a predicted deformation area from the post-earthquake non-change area according to the image of the post-earthquake non-change area and a preset deformation rate diagram of the to-be-detected area, and combining the predicted deformation area with the post-earthquake change area to obtain a target area; and calculating feature parameters of each object in the target area according to a gray texture feature map obtained by calculating the preset radar image of the to-be-detected area, the post-earthquake remote sensing image, a preset digital elevation model and a preset deformation rate map, and rejecting areas where non-landslide ground objects are located in the target area based on the parameters to obtain a landslide hidden danger area. According to the invention, the accuracy and comprehensiveness of landslide hidden danger detection can be improved.

Description

technical field [0001] The present invention relates to the technical field of geological disaster prediction, in particular, to a landslide detection method, device, equipment and storage medium. Background technique [0002] Landslides are the most common geological disasters, which cause huge damage to infrastructure such as roads and houses, seriously threaten people's lives and property safety, and cause obvious surface deformation. [0003] Therefore, timely and accurate landslide detection is essential in geological disaster prediction. [0004] However, although the conventionally used change detection method can quickly identify the area of ​​surface change, it can only identify the area where landslides have occurred, and does not identify possible secondary landslides; while the use of InSAR technology can identify secondary landslides. Landslides, but the phenomenon of decoherence often occurs, which will cause data holes in some areas to be missing, and manual ...

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Problems solved by technology

[0004] However, although the routinely used change detection method can quickly identify areas of surface change, it can only identify areas where landslides have occurred, and does not identify possible secondary landslides; while the use of InSAR technology can identify secondary landslides Landslides, but the phenomenon of decoherence often occurs, which will cause data gaps in some areas, and manual intervention is required, and the accuracy is not high

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