Sar image change detection method based on saliency fusion

Abstract

The invention discloses a saliency fusion-based SAR image change detection method, and aims at solving the problem that the SAR image change detection in the conventional method is easy to be influenced by speckle noise and is low in detection precision. The method comprises the following specific steps: (1) inputting an SAR image; (2) carrying out filtering; (3) calculating the logarithmic ratio of a pixel; (4) constructing a global saliency map; (5) calculating contrast ratio saliency values of different scales; (6) constructing a local saliency map; (7) fusing the local saliency map and the global saliency map; (8) carrying out fuzzy clustering; (9) outputting a change detection result. The method has the advantages of being good in noise influence robustness and high in detection precision for SAR image change detection.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a SAR image change detection method based on saliency fusion in the technical field of change detection of remote sensing images. The invention realizes the detection of the changing area of ​​two Synthetic Aperture Radar (SAR) images obtained in different time phases, and can be widely used in the fields of ground object coverage and utilization, natural disaster monitoring and evaluation, urban planning, map update and the like. Background technique [0002] SAR image change detection refers to the use of two SAR images that are not in the same area at the same time to detect and analyze ground changes. Compared with ordinary optical remote sensing technology, SAR technology has the characteristics of all-weather and all-day work, which makes SAR image change detection widely used in national economy and military applications. In recent years, change detection u...

AI Technical Summary

Problems solved by technology

Since this method only considers the variance of the corresponding pixels of the two images, although a higher pixel contrast can be obtained in the initial detection image, the disadvantage of this method is that it does not consider the spatial information of the SAR image, so it is still There is a problem that the accuracy of change detection is not high

Although this method has a good detection effect on difference maps with obvious targets, the shortcomings of this method are that the detection effect on difference maps with inconspicuous changing targets is not good, and it cannot effectively suppress the speckle noise. influences

Although this method can detect the change area more accurately, the disadvantage of this method is that the detection accuracy is not ideal because the detailed information and spatial neighborhood information are not considered.

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