Landslide and debris flow area detection method based on sparse representation classification

Abstract

The present invention provides a landslide debris flow area detection method based on sparse representation classification, which includes: dividing the image to be tested in the target area into M image blocks to be tested with the same size, and using the sparse representation classification method to analyze and judge the brightness of the three channels of red, green, and blue Obtain the suspected landslide debris flow image block set and the mean value of the difference between the preset first threshold and the sparse representation error; use the connected region detection method to obtain the landslide debris flow severely damaged area and its area boundary in the suspected landslide debris flow image block set; Obtain the land type of each point in the pre-disaster image at the point position, obtain the influence coefficient of the expansion degree of each point according to the corresponding disaster loss weight of the preset land type, and obtain the landslide according to the average value of the difference between the preset first threshold and the sparse representation error The expansion distance of the debris flow area is used to expand the severely damaged area of ​​landslide debris flow to obtain the general damage area of ​​landslide debris flow. The above method has high detection efficiency, high accuracy rate and low false alarm rate.

Description

technical field [0001] The invention relates to the technical field of landslide debris flow area detection, in particular to a landslide debris flow area detection method based on a sparse representation-based classifier (SRC for short). Background technique [0002] According to the definition of disaster science, a landslide refers to a certain part of the rock and soil on the slope under the action of gravity (including the gravity of the rock and soil itself and the dynamic and static pressure of groundwater), which generates shear displacement along a certain weak structural surface (band) and moves toward the slope as a whole. The function and phenomenon of moving below; and debris flow refers to a special torrent carrying a large amount of sediment and stones due to landslides caused by heavy rain, snowstorm or other natural disasters in mountainous areas or other areas with deep valleys and steep terrain. The formation mechanism of landslides and debris flows makes ...

AI Technical Summary

Problems solved by technology

The formation mechanism of landslides and debris flows makes the area have neither uniform overall features such as outlines and shapes, nor uniform textures, gradients, and other local features on remote sensing images. Most of the existing detection methods are suitable for landslides and debris flows. In situations where there are obvious differences in characteristics or with the help of DEM and other information to assist in the interpretation of areas and ranges, there are problems such as strict requirements on data sources and lack of wide applicability, so it is not suitable for the application requirements of using xx data for disaster assessment

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