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《Opto-Electronic Engineering》 2013-06
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A Target Recognition Method in SAR Images Based on Dynamic Dictionary Learning

WANG Baoyun 1 ,ZHANGYiwei 1 ,ZHANG Rong 1 ,GU Jin 2 ,WANG Minkun 3 (1.Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China;2.Shanghai-Hamburg College,University of Shanghai for Science and Technology,Shanghai 200093,China;3.Department of Electrical and Computer Engineering,Virginia Polytechnic Institute and State University,Virginia,USA)  
A dynamic dictionary learning method was proposed for automatic target recognition in Synthetic Aperture Radar (SAR) images.The new method decreased the size of a dictionary by erasing the useless or high-correlation atoms in the dictionary under a deleting cost.It added an atom by decomposing the residue data matrix under an adding cost.The performance of signal representation of a dictionary could be improved in the dynamic learning procedure.Experiments based on MSTAR database show that the proposed method can converge to a proper-size dictionary no matter how large the original size is.The proposed method was demonstrated to have good and robust performance of SAR target recognition in the trials.
【Fund】: 国家973重点基础研究发展计划基金(2010CB731904);; 国家自然科学基金(61172154)资助
【CateGory Index】: TN957.52
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Chinese Journal Full-text Database 5 Hits
1 Han Ping Wu Renbiao Wang Zhaohua Wang Yunhong (Institute of Electronic Information Eng., Tianjin University, Tianjin 300072, China) (Inst. of Comm. and Signal Proc., Civil Aviation Univ. of China, Tianjin 300300, China) (Nat. Key Lab of Pattern Recognition, Inst. of Automation, CAS, Beijing 100080, China);SAR AUTOMATIC TARGET RECOGNITION BASED ON KPCA CRITERION[J];Journal of Electronics and Information Technology;2003-10
2 WANG Yan-Qing 1 MA Lei 1 TIAN Yuan 1 1. Integrated Information System Center, Institute of Automa- tion, Chinese Academy of Sciences, Beijing 100190;State-of-the-art of Ship Detection and Recognition in Optical Remotely Sensed Imagery[J];Acta Automatica Sinica;2011-09
3 ZHANG Xiang-Rong1,2, YANG Chun1,2, JIAO Li-Cheng1,2 1(Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an 710071, China) 2(Institute of Intelligent Information Processing, Xidian University, Xi’an 710071, China);Semi-Supervised SAR Target Recognition Based on Laplacian Regularized Least Squares Classification[J];Journal of Software;2010-04
4 WANG Baoyun,ZHANG Rong,YUAN Yuan,YIN Dong(Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China);A new multi-level threshold segmentation method for ship targets detection in optical remote sensing images[J];Journal of University of Science and Technology of China;2011-04
5 ZHANG Xin-zheng1,HUANG Pei-kang2(1.College of Communication Engineering,Chongqing University,Chongqing 400044,China;2.The Science and Technology Committee,China Aerospace Science & Industry Corporation,Beijing 100048,China);SAR ATR based on Bayesian compressive sensing[J];Systems Engineering and Electronics;2013-01
Chinese Journal Full-text Database 10 Hits
1 ZHANG You-jing~1,HUANG Hao~2,MA Xue-mei~2(1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098;2.Institute of RS & GIS,Hohai University,Nanjing 210098,China);Research on Classification for City's Vegetation Type Based on KPCA and SAM[J];Geography and Geo-Information Science;2006-03
2 YANG Guang1,CHEN Ke-xiong1,ZHOU Mai-yu1,XU Zhong-lin1,WANG Zong-ming2(1.The Special Profession Department,Aviation University of Air Force,Changchun 130022,China;2.Northeast Institute of Geography and Agricultural Ecology,Chinese Academy of Sciences(CAS),Changchun 130012,China);Study evolution of detection and recognition on target in SAR image[J];Progress in Geophysics;2007-02
3 Hu Li-ping Liu Hong-wei Wu Shun-jun (National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China);SAR Target Feature Extraction and Recognition Based on Two-Stage 2DPCA[J];Journal of Electronics & Information Technology;2008-07
4 Han Zheng Su Zhi-gang Han Ping Wu Ren-biao (Tianjin Key Laboratory for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China);SAR Target Recognition Method Based on Orthogonal Subspace of Samples[J];Journal of Electronics & Information Technology;2009-11
5 Yu Guo-xian① Zhang Guo-ji② Wei Jia① Ren Ya-zhou① ①(School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,China) ②(School of Sciences,South China University of Technology,Guangzhou 510640,China);A Multi Graphs Based Transductive Ensemble Classification Method[J];Journal of Electronics & Information Technology;2011-08
6 LI Ming-bing,ZHANG Suo-ping,ZHANG Dong-liang,QI Zhan-hui(National Ocean Technology Center,Tianjin 300112,China);A new video surveillance method fused with AIS message for ship targets detection[J];Electronic Design Engineering;2012-07
7 LIU Zhen,JIANG Hui,XU Hai-feng(Department of Information Engineering,Electronic Engineering Institute of PLA,Hefei 230037,China);SAR Image Target Recognition Based on Two Dimensional Nonparametric Feature Analysis[J];Telecommunication Engineering;2012-12
8 BAI Yang1,2,ZHAO Yindi1,2(1.School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China; 2.Key Laboratory for Land Environment and Disaster Monitoring of SBSM,Xuzhou 221116,China);HJ-1A satellite remote sensing data classification based on KPCA and FCM[J];Remote Sensing for Land & Resources;2013-01
9 Sun Zhi-jun Xue Lei Xu Yang-ming(Electronic Engineering Institute,Hefei 230037,China)(Anhui Province Key Laboratory of Electronic Restriction,Hefei 230037,China);Marginal Fisher Feature Extraction Algorithm Based on Deep Learning[J];Journal of Electronics & Information Technology;2013-04
10 LI Yi1,ZHANG Jing2,WU Ling-hua3,YANG Ying-hua4,5 (1.Missile Equipment Military Representatives Office of NED in Xi’an,Xi’an 710065,China; 2.Research Institute of Information Fusion,NAAU,Yantai Shandong 264001,China; 3.Aeronautical Military Representatives Office of Navy in Chengdu,Chengdu 610041,China; 4.Department of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China; 5.Department of Missile and Weaponry,Navy Submarine Academy,Qingdao Shandong 266071,China);SAR Images Recognition Based on Modified Kernel Principal Component Analysis[J];Journal of Naval Aeronautical and Astronautical University;2009-03
China Proceedings of conference Full-text Database 2 Hits
1 TAO Xinmin~1,SONG Shaoyu~1,LIU Furong~2,CAO Pandong~1 1.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,P.R.China 2.Department of Information Engineering,Harbin Power Vocational Technology College,Harbin 150030,P.R.China;Bearings Fault Detection Based on Semi-Supervised SVM Laplacian Regularization[A];[C];2011
2 Ying Wang Ping Han Renbiao Wu (Tianjin key lab for advanced signal processing,civil aviation university of China,Tianjin,300300,P.R.China);SAR Automatic Target Recognition Based on Adaboost[A];[C];2007
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 JIANG Yun-hui,CHEN Huai-xin (Southwest China Institute of Electronic Technology,Chengdu 610036,China);Ship Detection Method Based on Wavelet Directional Filter in Cloudy Remote Sensing Images[J];Telecommunication Engineering;2008-01
2 Han Ping Wu Renbiao Wang Zhaohua Wang Yunhong (Institute of Electronic Information Eng., Tianjin University, Tianjin 300072, China) (Inst. of Comm. and Signal Proc., Civil Aviation Univ. of China, Tianjin 300300, China) (Nat. Key Lab of Pattern Recognition, Inst. of Automation, CAS, Beijing 100080, China);SAR AUTOMATIC TARGET RECOGNITION BASED ON KPCA CRITERION[J];Journal of Electronics and Information Technology;2003-10
3 Jiang Dingding, Xu Zhaolin, Li Kaiduan (Naval Aeronautical Engineering Academy Qingdao Branch, Qingdao, Shandong 266041, China);Surface Ship Target Recognition Research Based on SGA[J];Engineering Science;2004-08
4 XIAO Li-ping,CAO Ju,GAO Xiao-ying ( National AeroSpace Intelligence Control Technology Laboratory, Beijing Aerospace Automatic Control Institute, Beijing 100854, China );Detection for ship targets in complicated background of sea and land[J];Opto-Electronic Engineering;2007-06
5 ZHAO Ying-hai,WU Xiu-qing,WEN Ling-yun,XU Shou-shi ( Department of Electronics Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China );Ship Target Detection Scheme for Optical Remote Sensing Images[J];Opto-Electronic Engineering;2008-08
6 HE Si-hua1 YANG Shao-qing2 SHI Ai-guo1 LI Tian-wei(1 Department of Navigation,Dalian Naval Academy,Dalian 116018,China;2 Department of Information Engineering,Dalian Naval Academy,Dalian 116018,China);Detection of Ship Target Under Sea Background Based on Texture High-Order Fractal Feature[J];Optics & Optoelectronic Technology;2008-04
7 ZHOU Jing, TIAN Jin!wen (State Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Tecnology, Wuhan 430074, China );Method of detecting small target in port-sea background[J];Infrared and Laser Engineering;2005-04
8 Xu Jun; Xiang Jianyong; Zhou Xiang ;Yang Yi he (Dept. ofTech. Physics,Xi'an University of Electronic Technology, Xi'an, China, 710071);A TARGET SEGMENTATION ALGORITHM BASED ON FEATURE FIELD[J];INFRARED AND LASER ENGINEERING;1998-02
9 Luo Siwei and Zhao Lianwei (School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044);Manifold Learning Algorithms Based on Spectral Graph Theory[J];Journal of Computer Research and Development;2006-07
10 ZHANG Dong-xiao1,HE Si-hua2,YANG Shao-qing3(1.Xidian University,Xi′an 710071,China;2.Department of Navigation,Dalian Naval Academy,Dalian 116018,China;3.Department of Information Engineering,Dalian Naval Academy,Dalian 116018,China);Ship Targets Detection Method Based on Multi-scale Fractal Feature[J];Laser & Infrared;2009-03
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