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《Opto-Electronic Engineering》 2010-09
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Parallel Feature Extraction for SAR Images Based on Edge Detector

ZHU Chang-sheng,GUAN Jian,ZHOU Wei,HE Dong-liang(Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,Shandong Province,China)  
A model of parallel pair is proposed to overcome the limitation of the traditional one and it is the kernel of the designed algorithm for parallel feature extraction in Synthetic Aperture Radar(SAR) images.After the original SAR image is filtered to suppress the speckle noise,Ratio of Exponentially Weighted Averages(ROEWA) operator which has constant false alarm rate is used to detect edge.Then the approach of primitive parallel line segment extraction is carried out.Finally,the breakpoints are connected by means of the heuristic link idea.The experiment results show that the proposed algorithm can extract the parallel characteristic of SAR images efficiently,and it can be used for auto target recognition,such as roads,airports and rivers.
【Fund】: 教育部新世纪优秀人才支持计划(NCET-05-0912);; 国家自然科学基金(60672140 60802088);; “泰山学者”建设工程专项经费资助
【CateGory Index】: TN957.52
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【Citations】
Chinese Journal Full-text Database 9 Hits
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1 MEI Xiaoming~(1) NIU Ruiqing~(2) ZHANG Liangpei~(1) LI Pingxiang~(1)(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Institute of Geophysics and Geomatics,China University of Geoscience,31 Luomo Road,Wuhan 430074,China);EXTRACTION OF STRAIGHT LINES FEATURE BASED ON BEAMLET TRANSFORM[J];Journal of Geomatics;2006-06
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