Optical remote sensing automatic identification method for potential landslide considering InSAR deformation factors

Abstract

The invention belongs to the field of potential landslide identification, and discloses an optical remote sensing automatic identification method for a potential landslide considering InSAR deformation factors. The method comprises: acquiring a deformation rate map and optical remote sensing image data of a target area; preprocessing an optical remote sensing image to obtain an optical remote sensing image map of the target area; calculating terrain information data of the target area; dividing 4-band multi-spectral data to obtain a plurality of objects according to the deformation rate map ofthe target area; selecting ground object classification samples to obtain classification feature elements of the various ground object classification samples and the threshold values thereof; performing classification and eliminating to obtain a potential landslide area of the target area obtained by using the optical remote sensing image; calculating a potential landslide object; combining the potential landslide object with the obtained potential landslide area of the target area to finally obtain a complete potential landslide area of the target area. The method combines the optical remotesensing and InSAR deformation rate information to quickly and effectively extract the potential landslide information. Therefore, the method has high automation degree and reliability, and provides technical support for preventing landslide disasters.

Description

technical field [0001] The invention belongs to the field of potential landslide identification, and in particular relates to an optical remote sensing potential landslide automatic identification method in consideration of InSAR deformation factor. Background technique [0002] Landslide is a common natural disaster caused by natural factors or human activities, which mainly occurs in mountainous areas and valleys; optical remote sensing interpretation technology is used to identify landslides in the study area, although its coverage is large and human-computer interaction can be used to identify landslides. Identify landslides; however, traditional optical remote sensing image identification methods often can only provide semi-quantitative landslide identification results when conducting landslide investigations, there are missed and wrong judgments, and most of them are for regional positioning after the occurrence of landslides. It is difficult to realize early identific...

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Problems solved by technology

[0003] The method for identifying landslides in optical remote sensing images in the prior art can only provide semi-quantitative landslide identification results, and there are missed and wrong judgments, and InSAR deformation rate information for landslide identification is highly subjective and not automatic. Problem, the object of the present invention is to provide a kind of optical remote sensing potential landslide automatic identification method considering InSAR deformation factor

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