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作 者:FENG Jing CHEN Liang WEI Hang BI Fukun CHEN 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》2016年第5期974-979,共6页电子学报(英文版)
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.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:Synthetic aperture radar(SAR) Water region detection Bag of visual words(BOV) Local pattern histogram(LPH) Single-class support vector machine(SVM)
分 类 号:TN957.52[电子电信—信号与信息处理]
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