Study on river segmentation and bridge recognition for SAR image based on FSVM

Hui Wang; Dong Yin; Tao Sun

doi:10.1117/12.2073120

18 November 2014 Study on river segmentation and bridge recognition for SAR image based on FSVM

Hui Wang, Dong Yin, Tao Sun

Proceedings Volume 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications; 929918 (2014) https://doi.org/10.1117/12.2073120
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

Citation Download Citation

Hui Wang, Dong Yin, and Tao Sun "Study on river segmentation and bridge recognition for SAR image based on FSVM", Proc. SPIE 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, 929918 (18 November 2014); https://doi.org/10.1117/12.2073120

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