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Proceedings Paper

Study on river segmentation and bridge recognition for SAR image based on FSVM
Author(s): Hui Wang; Dong Yin; Tao Sun
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Paper Abstract

A novel method to SAR image segmentation based on fuzzy support vector machine (FSVM) for object recognition is proposed. First, the feature of river domain is extracted by analyzing bridge and its background in SAR image. Then, FSVM is used to make classification model by training example data for segmenting river region. Last, the summation minimum of direction energy is used as the rule for identifying a bridge in the binary image of river class. Experimental results show that the proposed method can effectively recognize more than one bridge over water in complex scene.

Paper Details

Date Published: 18 November 2014
PDF: 7 pages
Proc. SPIE 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, 929918 (18 November 2014); doi: 10.1117/12.2073120
Show Author Affiliations
Hui Wang, Univ. of Science and Technology of China (China)
Joint Lab. of Ultra Precision Control and System (China)
Dong Yin, Univ. of Science and Technology of China (China)
Joint Lab. of Ultra Precision Control and System (China)
Tao Sun, Joint Lab. of Ultra Precision Control and System (China)
Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 9299:
International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications
Anatoli G. Borovoi; Dong Liu, Editor(s)

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