Remote sensing image cloud detection method based on cascade color and texture feature attention

Abstract

The invention provides a remote sensing image cloud detection method based on cascade color and texture feature attention. The method comprises the following implementation steps of: generating a training set; constructing a remote sensing image cloud detection network; training a remote sensing image cloud detection network; and detecting a cloud-containing remote sensing image. According to the method, a color feature extraction subnet and a texture feature extraction subnet are utilized, the problem that thin cloud features are difficult to extract due to the fact that shallow features extracted in the prior art lack the difference between cloud and ground features is solved, and the detection accuracy of non-boundary thin clouds is improved. According to the method, the color feature attention module and the texture feature attention module are utilized, the problems of large false detection and missing detection of boundaries and thin cloud areas in the prior art are solved, the thin cloud detection accuracy is improved, the missing detection rate and the false detection rate are reduced, and the overall accuracy of cloud detection is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a remote sensing image cloud detection method based on cascading color and texture feature attention in the technical field of image detection. The invention can be used for segmenting and removing cloud-containing image parts in remote sensing images. Background technique [0002] Remote sensing images refer to films or photos that record the size of electromagnetic waves of various ground features. Remote sensing images have been widely used in various fields such as environmental monitoring, weather forecasting, and urban planning. In remote sensing images, the problem of lack of ground object information due to the occlusion of clouds is particularly significant. According to the research of ISCCP (International Satellite Cloud Climatology Project), more than half of the world is often covered by clouds. Therefore, in the remote sensing images acquired by sa...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, to provide a remote sensing image cloud detection method based on cascaded color and texture feature attention, which is used to solve the poor detection effect of the existing cloud detection technology, and the cloud boundary in the detection result And thin cloud area detection accuracy is low, the problem of blurred boundaries

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