Automatic extraction method for alluvial-proluvial fan information

Abstract

The invention discloses an automatic extraction method for alluvial-proluvial fan information. The method comprises the following steps of: (1) calculating a remote sensing extraction index, a vegetation index and a humidity index of a ground object in a remote sensing image and generating a remote sensing extraction index grey scale image, a vegetation index grey scale image and a humidity indexgrey scale image respectively; (2) synthesizing a colorized combined image by using the remote sensing extraction index grey scale image, the vegetation index grey scale image and the humidity index grey scale image; (3) performing main component transformation on the colorized combined image and extracting a first main component to generate a first main component grey scale image; and (4) performing threshold value partitioning on the first main component grey scale image to acquire a binary image of an alluvial-proluvial fan so as to extract the alluvial-proluvial fan information. By the method, the alluvial-proluvial fan information can be extracted accurately, and the extraction precision and the extraction speed are high.

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 alluvial fan information. Background technique [0002] Alluvial fans include alluvial fans and alluvial fans, which are fan-shaped formed by the sand, stone, mud and other solid materials carried by perennial rivers and temporary mountain currents after they come out of the mountain and spread to the open land with the valley mouth at the foot of the mountain as the apex. Accumulated landforms are part of alluvial plains. Alluvial fans have important applications and significance in water resources and environmental investigation and evaluation. At the same time, alluvial fans are very important in engineering geological investigations because of their different origins and different sorting degrees of constituent particles. Alluvial fan is a spatial geographical entity, and its development range is usually ...

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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