Remote sensing image change detection method based on multi-feature evidence integration and structure similarity

Abstract

The invention discloses a remote sensing image change detection method based on multi-feature proof integration and structure similarity, comprising the following steps: A. data preparation: selecting remote sensing images to be carried out with change detection in different time phase and in the same spatial scope; B. feature extraction: respectively extracting features of textures, grads and edges of images in two time phases; C. structure similarity calculation: calculating the texture structure similarity, grads structure similarity and edge structure similarity of the remote sensing images in two time phases in a working window; D. basic probability assignment function determination: building basic probability assignment function (BPAF) of evidence theory based on texture structure similarity, the grads structure similarity and edge structure similarity; and E. forming evidence and obtaining change areas to realize change detection. The method carries out change detection based on the area statistic features of edges, texture sand grads of images and can effectively avoid detection miss and false detection caused by the change detection using single feature; and the algorithm has robustness.

Description

technical field [0001] The invention relates to a method for detecting changes in remote sensing images, in particular to a method for detecting changes in remote sensing images based on multi-feature evidence fusion and structural similarity, and belongs to the field of remote sensing image processing and information extraction. Background technique [0002] Remote sensing image change detection is a technology that uses two remote sensing digital images (hereinafter referred to as remote sensing images) taken at different times in the same area, and uses digital image processing and pattern recognition to detect the change information of the ground features in the area. It has a very wide range of applications in many fields such as environment, agriculture, water conservancy and military affairs. In recent years, with the rapid development of aerospace technology, sensor technology, computer technology and related sciences, remote sensing technology has made rapid progres...

AI Technical Summary

Problems solved by technology

The change detection method of Cao et al. is designed for microwave remote sensing images and does not use other important image features including image edges, textures, gradients

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