A Novel Algorithm of Water Region Detection in SAR Image Based on Bag of Visual Words and Local Pattern Histogram

查看全文 作　　者：FENG [1]Jing;CHEN [1]Liang;WEI [1]Hang;BI [2]Fukun;CHEN [1]He

机构地区：[1]School of Information and Electronics, Beijing Institute of Technology;[2]College of Information Engineering, North China University of Technology

出　　处：《Chinese Journal of Electronics》索引2016年第25卷第5期,共6页

基　　金：supported by the National Natural Science Foundation of China(No.61171194) 摘　　要：Water region detection based on SAR images is a difficult problem for its computing complexity.This paper proposes a novel water region detection method in SAR image of complex scenery. The algorithm takes advantages of Bag of visual words(BOV) to precisely describe the homogeneous region in complex scenery. Local pattern histogram(LPH) and single-class Support vector machine(SVM) are adopted to determine the edge information of water region precisely. The feature extraction is calculated block by block, which reduces computing workload and interference from noise. The experiments based on SAR images of real complex scenery show that the proposed method achieves higher accuracy and robustness. 关键词：图像区域测算法 SAR 直方图视觉合成孔径雷达图像局部模水

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A Novel Algorithm of Water Region Detection in SAR Image Based on Bag of Visual Words and Local Pattern Histogram

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