Remote sensing texture information determination method and device, terminal and storage medium

Abstract

The invention provides a remote sensing texture information determination method and device, a terminal and a storage medium, and the remote sensing texture information determination method comprises:obtaining a three-dimensional remote sensing image pair, and generating a digital terrain model based on the three-dimensional remote sensing image pair; obtaining a gradient image based on the digital terrain model, wherein each pixel of the gradient image corresponds to a gradient value; based on the gradient value corresponding to each pixel in the gradient image, determining the gray value ofeach pixel, and generating a corresponding gray image; and obtaining texture feature information based on the grayscale image. The texture feature/information extracted by the method is more accurateand finer, so that the classification precision based on the texture feature/information is improved.

Description

technical field [0001] The present invention relates to the technical field of remote sensing information processing, in particular to a method, device, terminal and storage medium for determining remote sensing texture information. Background technique [0002] Surface features in open-pit mining areas have the characteristics of large height drop, complexity and variety, and drastic changes in surface morphology. Topographic features can play an important role in remote sensing classification of open-pit mining area ground features. However, the traditional way of determining texture information does not make full use of terrain features, making the traditional classification and representation model of remote sensing texture information unable to accurately describe the characteristics of these surface mining system elements in mining areas, which restricts the improvement of remote sensing classification accuracy. Contents of the invention [0003] The problem solved b...

AI Technical Summary

Problems solved by technology

However, the traditional way of determining texture information does not make full use of terrain features, so that the traditional remote sensing texture information classification and representation model cannot accurately describe the characteristics of these surface mining system elements in mining areas, which restricts the improvement of remote sensing classification accuracy

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