Study on river segmentation and bridge recognition for SAR image based on FSVM
Wang H. ; Yin D. ; Sun T.
2014
会议名称International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, IPTA 2014, May 13, 2014 - May 15, 2014
会议地点Beijing, China
英文摘要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. 2014 SPIE.
收录类别EI
会议录International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, IPTA 2014, May 13, 2014 - May 15, 2014
会议录出版者SPIE
会议录出版地Beijing, China
语种英语
内容类型会议论文
源URL[http://ir.ciomp.ac.cn/handle/181722/44614]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
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Wang H.,Yin D.,Sun T.. Study on river segmentation and bridge recognition for SAR image based on FSVM[C]. 见:International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, IPTA 2014, May 13, 2014 - May 15, 2014. Beijing, China.
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