SAR (Synthetic Aperture Radar) image change detection method based on neighborhood logarithm specific value and anisotropic diffusion

Abstract

The invention discloses an SAR (Synthetic Aperture Radar) image change detection method based on a neighborhood logarithm specific value and anisotropic diffusion, relating to the field of remote sensing image processing and mainly solving the problem that a difference graph structure of SAR image change detection is seriously influenced by SAR image spot noises. The SAR image change detection method comprises the following steps: (1) structuring a difference striograph IL of two images I1 and I2 of different times and same terrain according to a neighborhood logarithm specific value method; (2) carrying out self-adaptation window anisotropic diffusion filtering processing on the difference striograph IL to obtain a final filtering result graph NI<t>[L] of the difference striograph; and (3) carrying out threshold segmentation on the final filtering result graph NI<t>[L] of the difference striograph by using an OSTU (Maximum Between-Class Variance) threshold algorithm to obtain a change detection result graph CNI<t>[L] for structuring the difference striograph by using the neighborhood logarithm specific value method. The histogram of the difference striograph can be compressed so as to effectively eliminate miscellaneous points in the change detection result graph; and the self-adaptation window anisotropic diffusion filtering has favorable edge retentiveness and cannot blurs the edges of the image, thus, an obtained change detection result graph is finer.

Description

SAR Image Change Detection Method Based on Neighborhood Logarithmic Ratio and Anisotropic Diffusion technical field The invention belongs to the field of remote sensing image processing, relates to change detection of remote sensing images, and specifically provides a SAR image change detection method based on neighborhood logarithmic ratio and anisotropic diffusion, which can be used to detect SAR image changes. Background technique With the rapid development of synthetic aperture radar (SAR) technology, the SAR system can acquire image data all-weather and all-weather, which is a better image source for change detection. The remote sensing images are compared and analyzed, and the required ground object change information is obtained according to the differences between the images. In the past ten years, SAR image change detection technology has been applied in many fields, for example, forest cover change, earthquake area positioning and disaster assessment have broad a...

AI Technical Summary

Problems solved by technology

The technical problem to be solved by the present invention is: to overcome the deficiencies of the above-mentioned prior art, improve the correct rate of SAR image change detection, and according to the characteristics of SAR image change detection itself, propose a method based on neighborhood logarithmic ratio and self-adaptive window anisotropy The SAR image change detection method based on heterogeneous diffusion filtering can suppress part of the speckle noise in the SAR image and improve the accuracy of change detection results

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