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作 者:FuYusheng DingDongtao HouYinming
机构地区:[1]CollegeofElectron.Eng.,Univ.ofElectron.Sci.andTech.ofChina,Chengdu610054
出 处:《Journal of Electronics(China)》2004年第6期515-521,共7页电子科学学刊(英文版)
基 金:Supported by the University Doctorate Special Research Fund(No.20030614001)
摘 要:This letter studies on the detection of texture features in Synthetic Aperture Radar (SAR) images. Through analyzing the feature detection method proposed by Lopes, an improved texture detection method is proposed, which can not only detect the edge and lines but also avoid stretching edge and suppressing lines of the former algorithm. Experimental results with both simulated and real SAR images verify the advantage and practicability of the improved method.This letter studies on the detection of texture features in Synthetic Aperture Radar (SAR) images. Through analyzing the feature detection method proposed by Lopes, an improved texture detection method is proposed, which can not only detect the edge and lines but also avoid stretching edge and suppressing lines of the former algorithm. Experimental results with both simulated and real SAR images verify the advantage and practicability of the improved method.
关 键 词:Synthetic Aperture Radar (SAR) Feature detection Image texture
分 类 号:TN957.51[电子电信—信号与信息处理] TN958[电子电信—信息与通信工程]
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