Landslide debris flow area detection method based on sparse representation classification

A technology of sparse representation and sparse representation of coefficients, which is applied in the direction of instruments, character and pattern recognition, scene recognition, etc., can solve the problems of no uniform texture, gradient, lack of wide applicability, and unsuitable application requirements

Active Publication Date: 2015-05-13
BEIJING NORMAL UNIVERSITY
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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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  • Landslide debris flow area detection method based on sparse representation classification
  • Landslide debris flow area detection method based on sparse representation classification
  • Landslide debris flow area detection method based on sparse representation classification

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[0056] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0057] According to the definition of hazard science, on the one hand, there must be an indefinite amount of sediment and rocks in the landslide and debris flow area, which are shown as local similarity and regularity on the image; existence has a certain continuity. Therefore, we propose a landslide and debris flow region ...

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Abstract

The invention provides a landslide debris flow area detection method based on sparse representation classification. The method includes: dividing a target area image to be detected into multiple image blocks to be detected with the same sizes, analyzing and judging the brightness of three channels of red, green and blue through a sparse representation classification method, obtaining a suspected landslide debris flow image block collection, presetting the mean value of the difference between the first threshold value and the sparse representation errors; obtaining the landslide debris flow severely damaged area and the area boundaries in the suspected landslide debris flow image block collection through a connected area detection method; obtaining the land type of the image of each point before a disaster according to the position of each point of the area boundaries, obtaining the expansion degree influence coefficient of each point corresponds to the disaster loss weight according to the preset land type, obtaining the extended distance of the landslide debris flow area according to the mean value of the difference between the preset first threshold value and the sparse representation errors, and obtaining the landslide debris flow general damaged area through the extension of the landslide debris flow seriously damaged area. The landslide debris flow detection method is high in detection efficiency and accuracy and low in false alarm rate.

Description

technical field [0001] The invention relates to the technical field of landslide debris flow region detection, in particular to a landslide debris flow region 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 the shear displacement of 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 the groundwater) along a certain weak structural surface (zone), and the overall direction of the slope is The function and phenomenon of downward movement; and debris flow refers to a special torrent that carries a large amount of sediment and rocks due to landslides caused by heavy rain, blizzard or other natural disasters in mountainous areas or other areas with deep ravines and steep terrain. The formation mechanism of landslides and debris flo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F18/24
Inventor 孙波何珺刘臻葛凤翔郝卓徐其华
Owner BEIJING NORMAL UNIVERSITY
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