Edge Detection in SAR Segmentation Based on Regularization Method

Clear and continuous edge feature is important to analyze and interpret SAR images. A new edge detection of SAR images is presented by analyzing regularization method. There are three steps. Firstly, using a modified regularization method reduce the speckle noise. Then, a statistical method is proposed to segment the target of interest. At last, edge detection is realized by a window method. Compared with traditional methods, experimental results with MSTAR dataset show that this method can maintain detail feature, resolve the broken edge and decrease noise efficiently. This algorithm has wonderful edge-detection performance.