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Proceedings Paper

New edge detection method of SAR images
Author(s): Jing Zhang; Guo-hong Wang; Zhi-yong Yang
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678615 (15 November 2007); doi: 10.1117/12.747706
Show Author Affiliations
Jing Zhang, Naval Aeronautical Engineering Institute (China)
Guo-hong Wang, Naval Aeronautical Engineering Institute (China)
Zhi-yong Yang, Naval Aeronautical Engineering Institute (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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