Quick landslide extraction method based on fully polarimetric SAR (synthetic aperture radar) images

Abstract

The invention discloses a quick landslide extraction method based on fully polarimetric SAR (synthetic aperture radar) images. An airborne or satellite-borne satellite acquires two to-be-processed original fully polarimetric images with the same orbit and mode before and after occurrence of a landslide disaster, then reference images are acquired through preprocessing of the images, polarization feature extraction is performed on the reference images with a Freeman decomposition and Cloude decomposition combined method, initial classification images are acquired and then clustered, similar feature areas are merged, final classification images are acquired, change detection processing is performed on the final classification images with a change detection algorithm according to area features before and after landslide occurrence, a suspected landslide area chart is generated, finally, the suspected landslide area chart is processed with a morphological method, noise or small areas are removed, and a landslide distribution map is output finally, so that large-area landslide information can be extracted from the fully polarimetric SAR images quickly and accurately.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to a method for extracting landslide disaster information based on full-polarization SAR images. Background technique [0002] Landslide is one of the most frequent and harmful geological disasters. Therefore, it is necessary and meaningful to study landslides. The factors affecting the formation of landslides are very complex, including topography, stratum lithology, geological structure, hydrogeological conditions and vegetation. The occurrence of most landslides is often accompanied by earthquakes and heavy rains, so it is often difficult for optical satellites to obtain images of new landslides; in addition, it is unrealistic to enter the landslide occurrence area for on-the-spot survey. Different from optical sensors, Synthetic Aperture Radar (Synthetic Aperture Radar) is an active microwave sensor that acquires surface scattering information by emitt...

AI Technical Summary

Problems solved by technology

For mountainous areas, depending on the incident angle of the SAR antenna, it will cause different degrees of shadowing, overlapping and shrinkage, which makes the identification and extraction of landslides more difficult than general target identification.

At this stage, there are still many deficiencies in the methods of extracting landslide information based on SAR images at home and abroad. The existing research mainly focuses on landslide prediction and disaster information extraction. How to quickly extract large-area landslide information using SAR images is a problem that needs to be solved.

Images