New edge detection method of SAR images

Jing Zhang; Guo-hong Wang; Zhi-yong Yang

doi:10.1117/12.747706

15 November 2007 New edge detection method of SAR images

Jing Zhang, Guo-hong Wang, Zhi-yong Yang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678615 (2007) https://doi.org/10.1117/12.747706
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

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.

Citation Download Citation

Jing Zhang, Guo-hong Wang, and Zhi-yong Yang "New edge detection method of SAR images", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678615 (15 November 2007); https://doi.org/10.1117/12.747706

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