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Method for extracting debris flow information in remote sensing images

A remote sensing image and debris flow technology, applied in the field of remote sensing interpretation, can solve problems such as low accuracy, poor recognition results, and low efficiency, and achieve the effect of eliminating terrain shadows and accurate and fast image processing

Inactive Publication Date: 2018-06-12
GEOVIS CO LTD
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This interpretation method, especially the traditional image mosaic method, has the defects of low efficiency, low precision, and poor recognition results.

Method used

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  • Method for extracting debris flow information in remote sensing images

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Embodiment Construction

[0021] In order to better understand the present invention, the method of the present invention will be further described below with reference to the description of the embodiments in conjunction with the accompanying drawings.

[0022] In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be understood by those skilled in the art that the present invention may be practiced without these specific details. In the embodiments, well-known methods, procedures, components have not been described in detail so as not to unnecessarily obscure the embodiments.

[0023] see figure 1 As shown, a method for extracting debris flow information in a remote sensing image of the present invention comprises the following steps:

[0024] (1) Calculate the vegetation index, water body index, and soil brightness index in multiple remote sensing images, and generate vegetation index gr...

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Abstract

The invention discloses a method for extracting debris flow information in remote sensing images. The method comprises the following steps of: generating vegetation index grayscale images, water bodyindex grayscale images and soil brightness index grayscale images; respectively carrying out main component conversion on a plurality of remote sensing images and extracting first main components to generate first main component grayscale images; aiming at each remote sensing image, synthesizing the corresponding vegetable index grayscale image, water body index grayscale image, soil brightness index grayscale image and first main component grayscale image into a color synthesized image; carrying out image splicing on the plurality of color synthesized images synthesized by the plurality of remote sensing images; carrying out main component conversion on the spliced image and extracting first main components to generate a spliced first main component grayscale image; and carrying out remote sensing interpretation on the spliced first main component grayscale image so as to extract debris flow image. The method provided by the invention is capable of correctly extracting debris flow information.

Description

technical field [0001] The invention relates to the field of remote sensing interpretation, in particular to a method for extracting debris flow information in remote sensing images. Background technique [0002] The traditional methods of identifying and judging debris flow geological disasters are mainly based on on-site geological surveying, surveying and other work before judging the potential of disasters. It is a drop in the bucket for large-scale geological disaster investigation and prevention and control, and the efficiency is low. [0003] The interpretation based on satellite images is a convenient, fast, low-cost and effective way of identification and judgment. At present, the world's advanced MODIS, LANDSAT and other satellites provide free historical remote sensing data for more than 20 years around the world. Through the comparison and analysis of the historical data of the debris flow geological disaster area, a large amount of real and reliable data can be...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T3/40
CPCG06T3/4038G06V20/13G06F18/2135
Inventor 王一杨庆庆何晓宁
Owner GEOVIS CO LTD
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