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
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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 |
推荐引用方式 GB/T 7714 | 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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