SAR image edge detection based on fuzzy theory and information fusion

Synthetic Aperture Radar (SAR) image edge detection is one of the important steps for earth observation and target recognition,and it is recognized a difficult problem by domestic and foreign researchers because of the presence of speckle noise. A study was undertaken in this paper to speckle noise suppression and edge detail holding for SAR image edge detection, and we present an intelligent edge detection approach based on fuzzy theory and information fusion. Some typical SAR images were selected for edge detection using this approach in order to verify the result of relevant speckle noise suppression and edge detail holding. Results shows that this method can effectively inhibit the SAR image speckle noise and has smart edge detection ability. Unlike classical SAR image edge detection methods, this approach is a comprehensive integrated of different intelligent information processing methods, and it shows good robustness and universality.