Method for automatically extracting information of bare area in slumped mass

Abstract

The invention discloses a method for automatically extracting information of a bare area in a slumped mass. The method comprises the following steps of: (1) calculating the vegetation index and the soil brightness index of ground features in a remote sensing image, and respectively generating a vegetation index grayscale image and a soil brightness index grayscale image; (2) transforming principal components of the remote sensing image and extracting a first principal component to generate a first principal component grayscale image; (3) synthesizing the vegetation index grayscale image, the soil brightness grayscale image and the first principal component grayscale image into a colorful synthetic image; (4) transforming the principal components of the colorful synthetic image and extracting a first principal component to generate a new first principal component grayscale image; and (5) carrying out threshold segmentation on the new first principal component grayscale image to obtain a binary image of the bare area in the slumped mass, thus the information of the bare area in the slumped mass is extracted. The method disclosed by the invention can be used for accurately extractingthe information of the bare area in the slumped mass; the extracting accuracy and the extracting speed are high; and the influence from topographic shadows, vegetation and other ground features can be eliminated effectively.

Description

technical field [0001] The invention relates to the field of remote sensing extraction of ground object information, in particular to an automatic extraction method of bare ground information in a landslide body. Background technique [0002] my country is a country with fragile geological environment and frequent geological disasters. Mountains, plateaus and hills account for more than 2 / 3 of the country's land area, and the distribution range of landslides, landslides, and debris flows accounts for 44.8% of the country's land area. Among the severe geological disasters, collapses, landslides, and debris flows accounted for more than 90% of the total, especially in the southwest and northwest regions. The occurrence of these disasters not only brought heavy casualties or property losses, but also caused serious social problems and public safety problems. Therefore, the remote sensing investigation and research of geological disasters such as landslides and collapses have al...

AI Technical Summary

Problems solved by technology

[0004] However, on the one hand, since the interpretation of remote sensing images using manual visual interpretation is a complex cognitive process, it often takes several repeated interpretations to obtain the correct results. Interpretation of one scene data and multiple disaster information It often takes several days or even longer, so the efficiency of this method is relatively low

On the other hand, when interpreting remote sensing images using the method of manual visual interpretation, only when there are differences in color or brightness on the remote sensing images, and this difference can be visually distinguished by the interpreter, can the ground Objects and backgrounds are distinguished, and the interpretation accuracy of this method varies from person to person, resulting in splicing of interpretation results. Therefore, the translation accuracy of this method is relatively low

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