Abstract: Traditional Canny edge detection algorithm suppresses the speckle noise of synthetic aperture radar (SAR) images too much, causing much loss of real edge information loss. To tackle this problem, this paper proposed a new Canny operator edge detection algorithm. Firstly, the method established a suitable non-symmetric half plane (NSHP) image model, then converted the spatial model into a system state equation applicable to Kalman filter; after that, then we adopted the method of prediction and feedback to denoise the image. Finally, the edge of the image was extracted by dual threshold algorithm. Experimental results show that the proposed method can effectively suppress the speckle noise of the SAR image and preserve the edge information well, and provide better detection effects than traditional Canny algorithm.

Key words: Canny operator, edge detection, NSHP, Kalman filter, SAR image