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《Journal of Telemetry,Tracking and Command》 2009-02
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Study on Target Detection of SAR Images Using Average Roughness Feature

Hu Fengming,Yang Ruliang,Shang Jian  
This paper studies the method of the average roughness feature for the SAR image target detection by MSTAR database.The results of target detections using the average roughness feature are compared with those using the method of CFAR for SAR images in different backgrounds.Simulation results indicate that the method using the average roughness feature can not only detect size-fixed targets but also have lower false alarm rates,its spatial resolutions of the detected targets are higher and the locations of the detected targets are more accurate in different backgrounds,but the false alarm rates in complex background are worse than those in the simple background using the average roughness feature.
【CateGory Index】: TN957.52
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【References】
Chinese Journal Full-text Database 1 Hits
1 YOU Shu-cheng,LIU Shun-xi(China Land Surveying & Planning Institute,Beijing,100035);Study on Composition Method of High Spatial Resolution SAR Data for Land Use Type Discrimination[J];Remote Sensing Information;2011-01
【Co-references】
Chinese Journal Full-text Database 3 Hits
1 Cheng De-bao① Hu Feng-ming②③ Yang Ru-liang② ①(School of Economics and Management, Beihang University, Beijing 100191, China) ②(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ③(Graduate University of the Chinese Academy of Sciences, Beijing 100190, China);Study on Target Detection of SAR Image Using Improved Fractal Feature[J];Journal of Electronics & Information Technology;2009-01
2 WANG Changcheng1 LIAO Mingsheng1(1 State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China);A Target Detection Method Based on Multi-aperture SAR Images[J];Geomatics and Information Science of Wuhan University;2009-01
3 ZHAO Hui1,WANG Wen-guang1,SUN Jin-ping1,HONG Wen2,MAO Shi-yi1(1.School of Electronic and Information Engineering,Beihang Univ.,Beijing 100191,China;2.National Key Lab.of MW Imaging Technology,Inst.of Electronics,Chinese Academy of Science,Beijing 100080,China);Target detection in SAR images based on knowledge[J];Systems Engineering and Electronics;2009-06
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