Clear and continuous edge feature is important to analyze and interprete SAR images. In this paper, a new edge detection
of SAR images is presented by analyzing regularization method. There are three steps. Firstly, using a modified
regularization method reduces the speckle noise. And then, a statistical method is proposed to segment the target of
interest and the shadow. At last, edge detection is realized by a window method. Comparing 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.
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