Rayleigh Distribution-based Edge Detection in SAR Images
Sourabh Paul, Bethi Saiteja, S. Rajasekharan, K. Pravallika, K. Prudhvi Reddy · 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) · 2022
Edge detection in Synthetic Aperture Radar (SAR) images is challenging task in remote sensing as the images contain significant speckle noise. Many ratio-based edge detectors have been developed in recent years to effectively identify the edges in SAR images. However, an automatic threshold value selection in edge detection is a critical issue. In this paper, a Rayleigh distribution-based edge detection method is proposed for the automatic selection of threshold value. This method is very effective to automatically identify the true edges and reject the false edges. Experiments are performed on different SAR images to verify the effectiveness of the developed method.