SAR (Synthetic Aperture Radar) image change detection method based on adaptive weight and high frequency threshold

Abstract

The invention discloses an SAR (Synthetic Aperture Radar) image change detection method based on an adaptive weight and a high frequency threshold, which mainly solves problems that the detection effect is not ideal in the prior art and that a single-type difference chart is low in detection accuracy. The SAR image change detection method comprises the implementation steps of 1, reading in two SAR image I1, I2 which are acquired from the same area at different moments; 2, respectively calculating a mean ratio difference image Dm and a neighborhood log ratio difference image Dl of corresponding pixels of the image I1 and the image I2; 3, carrying out wavelet fusion on the mean ratio difference images Dm and the neighborhood log ratio difference images Dl to acquire fused difference images Xd; and 4, clustering the fused difference images Xd into two different categories so as to acquire a change detection result. The SAR image change detection method is simple to operate, good in noise resistance and high in detection accuracy, can acquire good effects for different types of SAR images, and can be applied to environment monitoring, marine observation, disaster evaluation, resource exploration, urban planning and geographical mapping.

Description

technical field [0001] The invention belongs to the technical field of radar image processing, in particular to a method for detecting changes in SAR images, which can be used for environmental monitoring, ocean observation, disaster assessment, resource survey, urban planning and geographical surveying and mapping. Background technique [0002] Synthetic aperture radar (SAR) originated in the 1950s. As an active coherent microwave imaging radar, compared with visible light and infrared remote sensing, microwave remote sensing has unique advantages: 1. Synthetic aperture radar adopts side-view imaging, with a large coverage area and high resolution Second, it is less affected by the external natural environment such as climate, and can work 24 hours a day; third, it has a strong ability to penetrate the ground, and can effectively identify camouflage and penetrate cover. Due to these incomparable advantages of SAR images, coupled with the rapid development of spaceborne, air...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a SAR image change detection method based on adaptive weight and high-frequency threshold to solve the problems of unsatisfactory detection effect in the prior art, low detection accuracy and narrow application range of a single type of difference map, and better Detect the changing area of ​​the SAR image

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