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Remote Sensing Technology and Application
    
Study on Vessel Classification in SAR Imagery:A Survey
Wu Fan,Wang Chao,Zhang Bo,Zhang Hong,Tian Xiaojuan
(Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China )
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Abstract  

With the technical promotion of Synthetic Aperture Radar (SAR),the study on vessel detection and classification using current new generation (high resolution and multi-polarization)SAR image has become a hot research topic for maritime traffic monitoring,fishery control and other applications.Techniques of vessel classification with SAR image are reviewed in this paper.Based on the researches in recent twenty years,image features (including geometric features,backscattering features and polarimetric features)for vessel classification are summarized;furthermore,merits and demerits of them are pointed out.The Vessel classification algorithms with SAR image are also investigated and summarized.Finally,some comments and suggestions are given for the development of vessel classification application.

Key words:  Synthetic Aperture Radar (SAR)      Vessel      Classification     
Received:  30 October 2012      Published:  14 May 2014
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Wu Fan
Wang Chao
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Zhang Hong
Tian Xiaojuan

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Wu Fan,Wang Chao,Zhang Bo,Zhang Hong,Tian Xiaojuan. Study on Vessel Classification in SAR Imagery:A Survey. Remote Sensing Technology and Application, 2014, 29(1): 1-8.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004\|0323.2014.1.0001     OR     http://www.rsta.ac.cn/EN/Y2014/V29/I1/1

[1]Liu Yongtan.Technology of Radar Imaging[M].Harbin:Harbin Institute of Technology Press,1999.[刘永坦.雷达成像技术[M].哈尔滨:哈尔滨工业大学出版社,1999.]

[2]Zhang Hong,Wang Chao,Zhang Bo,et al.Target Recognition with High Resolution SAR Image[M].Beijing:Science Press.2009.[张红,王超,张波,等.高分辨率SAR图像目标识别[M].北京:科学出版社,2009.]

[3]Crisp D J.The State-of-the-art in Ship Detection in Synthetic Aperture Radar Imagery[R].Defense Science and Technology Orgnisation Report,DSTO-RR-0272,2004.

[4]Menon M M,Boudreau E R,Kolodzy P J.An Automatic Ship Classification System for ISAR Imagery[J].The Lincoln Laboratory Journal,1993,6(2):289-308.

[5]Musman S,Kerr D,Bachmann C.Automatic Recognition of ISAR ship Image[J].IEEE Transactions On Aerospace And Electronic Systems,1996,32(4):1392-1404.

[6]Maki A,Fukui K,Kawawada Y,et al.Automatic Ship Identification in ISAR Imagery:An On-line System Using CMSM[C]//Proceedings of the IEEE Radar Conference,California,2002:206-211.

[7]Margarit G,Blanco P,Sanz J,et al.Orbital SAR Simulator of Fishing Vessel Polarimetric Signatures based on High Frequency Electromagnetic Calculations[C]//IEEE International Geoscience and Remote Sensing Symposium,Toulouse,2003:4459-4461.

[8]Klepko R.Classification of SAR Ship Images with the Aid of a Syntactic Pattern Recognition Algorithm[R].DREO Technical note 91-10,1991.

[9]Tuttle A,Kelpko R.Fuzzy Classification Algorithms Applied to SAR Images of Ships[R].DREO Technical Note 95-11,1995.

[10]Arnesen N T,Olsen R B.Literature Review on Vessel Detection[R].FFI/RAPPORT-2004/02619.Norwegian Defence Research Establishment,2004.

[11]Christoffersen T.Klassifisering at Skip I SAR-bilder[R].FFI/Notat-91/7046,Norwegian Defence Research Establishment,Kjeller,Norway,1990.

[12]Bachmann C M,Musman S A,Schultz A.Classification of Simulated Radar Imagery Using Lateral Inhibition Neural Networks[C]//Proceedings of the IEEE Singal Processing Workshop,Helsingoer,1992:279-288.

[13]Bachmann C M,Musman S A,Schultz A.Lateral Inhibition Neural Networks for Classification of Simulated Radar Imagery[C]//International Joint Conference on Neural Networks,Baltimore,1992:115-120.

[14]Morse A J,Protheroe M A.Vessel Classification as Part of an Automated Vessel Traffic Monitoring System Using SAR Data[J].International Journal of Remote Sensing,1997,18(13):2709-2712.

[15]Greidanus H,Kourti N.Findings of the DECLIMS Project-Detection and Classification of Marine Traffic from Space[C]//Proceedings of SEASAR,Frascati,2006.

[16]Margarit G,Tabasco A,Gomez C.Maritime Situational Aw-areness:The MARISS Experience[C]//Proceedings of SEASAR,Frascati,2010.

[17]Estable S,Teufel F,Petersen L,et al.Detection and Classification of Offshore Artificial Objects in TerraSAR-X Images: First Outcomes of the DeMarine-DEKO Project[C]//Oceans,Bremen,2009.1-8.

[18]Saur G,Teutsch M.SAR Signature Analysis for TerraSAR-X-based Ship Monitoring[C]//Proceedings of the SPIE,Toulouse,2010:78301O-1-78301O-8.

[19]Panagopoulos G,Tsagaris V,Anastassopoulos V.Using Synthetic Aperture Radar Data to Detect and Identify Ships[M].SPIE,Newsroom.No.1,2008,Doi:10.1117/2.1200802.1062.

[20]Gouaillier V,Gagnon L.Ship Silhouette Recognition Using Principal Components Analysis[C]//Proceedings of SPIE 3164,Conference Applications of Digital Image Processing XX,San Diego,1997.

[21]Gagnon L,Klepko R.Hierarchical Classifier Design for Airborne SAR Images of Ships[C]//Proceedings of SPIE Automatic Target Recognition VIII,Orlando,3371,1998.

[22]Pastina D,Spina C.Multi-feature based Automatic Recognition of Ship Targets in ISAR[J].IET Radar Sonar Navigation,2009,3(4):406-423.

[23]Margarit G,Milanés J A B,Tabasco A.Operational Ship Monitoring System based on Synthetic Aperture Radar Processing[J].Remote Sensing,2009,1:375-392.[24]Greidanus H,Kourti N.A Detailed Comparison between Radar and Optical Vessel Signatures[C]//IEEE International Geoscience and Remote Sensing Symposium,Denver,2006.

[25]Yin Xiong,Wang Chao,Zhang Hong,et al.Vessel Recognition with High Resolution TerraSAR-X Image based on Structure Feature[J].Journal of Image and Graphics,2012,17(1):106-113.[殷雄,王超,张红,等.基于结构特征的高分辨率TerraSAR-X图像船舶识别方法研究[J].中国图象图形学报,2012,17(1):106-113.][26]Tian Xiaojuan,Wang Chao,Zhang Hong,et al.Extraction and Analysis of Structural Features of Ships in High Resolution SAR Images[C]//IEEE CIE International Conference on Radar,Chengdu,2011.

[27]Knapskog A O,Brovoll S,Torvik B.Characteristics of Ships in Harbour Investigated in Simultaneous Images from TerraSAR-X and PicoSAR[C]//IEEE Radar Conference,Arlington,2010:422-427.

[28]Knapskog.Classification of Ships in TerraSAR-X Images ba-sed on 3D Models and Silhouette Matching[C]//8th European Conference on Synthetic Aperture Radar,Aachen,2010.

[29]Margarit G,Tabasco A.Ship Classification in Single-Pol SAR Images based on Fuzzy Logic[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(8):3129-3138.

[30]Zhang Xi,Zhang Jie,Ji Yonggang,et al.The Capability Analysis of Ship Classification by Structure Feature Using SAR Images[J].Acta Oceanologica Sinica,2010,32(1):146-152.[张晰,张杰,纪永刚,等.基于结构特征的SAR船只类型识别能力分析[J].海洋学报,2010,32(1):146-152.]

[31]Wang Chao,Zhang Hong,Wu Fan,et al.Ship Features and Classification in Hi-Resolution SAR Images with Object Backscattering Part and SURF Array[C]//The Asia-Pacific Conference on Synthetic Aperture Radar,Seoul,2011.

[32]Zhang Hong,Wang Chao,Wu Fan,et al.A Study of Vessel Recognition based on TerraSAR-X Image[C]//TerraSAR-X Science Team meeting,Oberpfaffenhofen,2011.

[33]Li Hongzhong,Wang Chao,Zhang Hong,et al.Classification of High Resolution TerraSAR-X Ship Chips based on Distribution Characteristic Matrix of Scattering Centers[C]//IEEE International Geoscience and Remote Sensing Symposium,Vancouver,2011.

[34]Wang Chao,Zhang Hong,Chen Xi,et al.Full Polarimetric SAR Image Processing[M].Beijing:Science Press,2008.[王超,张红,陈曦,等.全极化合成孔径雷达图像处理[M].北京:科学出版社,2008.]

[35]Ringrose R,Harris N.Ship Detection Using Polarimetric SAR Data[C]//Proceedings of CEOS SAR Workshop,Toulouse,1999.

[36]Yeremy M,Campbell J W M,Mattar K,et al.(2001).Ocean Surveillance with Polarimetric SAR[J].Canadian Journal of Remote Sensing,2001,27(4):328-344.[37]Chen Xi,Wu Tao,Ruan Xiangwei.Updated Progress in Polarimetric SAR Techniques on Vessel Detection[J].Remote Sensing Technology and Application,2009,24(6):841-848.[陈曦,吴涛,阮祥伟.极化SAR海面船只检测技术的研究进展[J].遥感技术与应用,2009,24(6):841-848.]

[38]Touzi R,Charbonneau F.Characterization of Target Symmetric Sc-attering Using Polarimetric SARs[J].IEEE Transactions on Geoscience And Remote Sensing,2002,40(11):2507-2516.

[39]Touzi R,Charbonneau F.The SSCM for Ship Characterization Using Polarimetric SAR[C]//IEEE International Geoscience and Remote Sensing Symposium,Toulouse,2003:194-196.[40]Touzi R,Raney R K,Charbonneau F.On the Use of Permanent Symmetric Scatterers for Ship Characterization[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(10):2039-2045.

[41]Margarit G,Blanco P,Sanz J,et al.Simulation of Fishing Vessel Polarimetric Signatures as First Step to Vessel Classification[C]//Proceedings of SPIE,Barcelona,2004.

[42]Margarit G,Mallorqui J J,Rius J M,et al.On the Usage of GRECOSAR,An Orbital Polarimetric SAR Simulator of Complex Targets,to Vessel Classification Studies[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(12):3517-3526.

[43]Margarit G,Mallorqui J J,Fabregas X.Tri-dimensional Vessel Classification Patterns Inferred Via Single-pass Polarimetric SAR Interferometry[C]//Advances in SAR Oceanography from ENVISat and ERS Missions,Proceedings of SEASAR,Frascati,2006.

[44]Margarit G,Mallorqui J J,Fabregas X.Study of the Influence of Vessel Motions and Sea-ship Interaction on Classification Algorithms based on Single-pass Polarimetric SAR Interferometry[C]//IEEE International Geoscience and Remote Sensing Symposium,Denver,2006:75-78.

[45]Margarit G,Mallorqui J J,Fabregas X.Single-pass Polarimetric SAR Interferometry for Vessel Classification[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(11):3494-3502.

[46]Margarit G,Mallorqui J J.Assessment of Polarimetric SAR Interferometry for Improving Ship Classification based on Simulated Data[J].Sensors,2008,8:7715-7735.

[47]Paladini R,Martorella M,Berizzi F.Classification of Man-Made Targets via Invariant Coherency-matrix Eigenvector Decomposition of Polarimetric SAR/ISAR Images[J].IEEE Transactions on Geoscience And Remote Sensing,2011,49(8):3022-3034.

[48]Wang Jun,Yang Jingsong,Huang Weigen,et al.Analysis of Vessel Geometric Structure based on Polarimetric SAR Decomposition[C]//2nd Symposium on Technology of Microwave Remote Sensing,Shenzhen,2006:152-160.[王隽,杨劲松,黄韦艮,等.基于极化SAR目标分解理论的船只几何结构初步分析[C]//第二届微波遥感技术研讨会,深圳,2006:152-160.]

[49]Han Zhaoying,Chong Jinsong.Ship Detection Algorithm in Polarimetric SAR Images[J].Journal of Test and Measurement Technology,2006,20(1):65- 70.[韩昭颖,种劲松.极化合成孔径雷达图像船舶目标检测算法[J].测试技术学报,2006,20(1):65-70.]

[50]Chong Jinsong,Li Xiaowei,Han Zhaoying.Analysis of Target Detection Performance on ENVISAT ASAR Alternating Polarization Mode[J].Journal of Electronics & Information Technology,2007,29(10):2359-2362.[种劲松,李晓玮,韩昭颖.ENVISat ASAR 交替极化模式目标检测性能分析[J].电子与信息学报,2007,29(10):2359-2362.]

[51]Li Haiyan.Ship Detection with Polarimetric SAR Data[D].Qingdao:Institute of Oceanology,Chinese Academy of Sciences,2007.[李海艳.极化SAR 海面船只监测方法研究[D].青岛:中国科学院海洋研究所,2007.]

[52]Wu Fan,Wang Chao,Zhang Hong,et al.Analysis of Polarimetric Ship Signatures with Radarsat-2 Quad-pol Imagery[C]//IEEE International Geoscience and Remote Sensing Symposium,Munich,2012.

[53]Chen J,Chen Y L,Yang J.Ship Detection Using Polarization Cross-Entropy[J].IEEE Geoscience and Remote Sensing Letters,2009,6(4):723-727.

[54]Wang Wenguang,Wang Jun,Mao Shiyi,et al.Ship Detection based on Classification of Polarimetric SAR Images[J].Signal Processing,2007,23(5):676-679.[王文光,王俊,毛士艺,等.基于极化SAR 图像分类的海上舰船检测[J].信号处理,2007,23(5):676-679.]

[55]Lee K C,Wang L T,Ou J S,et al.An Efficient Algorithm for the Radar Recognition of Ships on the Sea Surface[C]//2007 International Symposium of MTS/IEEE Oceans.Vancouver,2007:1-6.

[56]Maki A,Fukui K.Ship Identification in Sequential ISAR Imagery[J].Machine Vision and Applications,2004,15:149-155

[57]Osman H,Pan L,Blostein S D,et al.Classification of Ships in Airborne SAR Imagery Using Backpropagation Neural Networks[C]//Radar Processing,Technology,and Applications II,San Qiego,1997,3161:126-335.

[58]Leng Jiaxu,Huang Huiming,Long Fang.Research Status and Trend for Target Recognition based on High Resolution Range Profiles[J].Journal of Spacecraft TT&C Technology,2010,29(3):79-83.[冷家旭,黄惠明,龙方.基于高分辨率距离像的目标识别技术发展现状与趋势[J].飞行器控制学报,2010,29(3):79-83.]

[59]Panagopoulos G,Tsagaris V,Anastassopoulos V.A Novel Ship Identification System based on Polarimetric ASAR Data[C]//Proceedings of SPIE,Florence,2007,6748:67480X-1-67480X-9.

[60]Lee K C,Ou J S,Huang C H.Angular-diversity Radar Recognition of Ships by Transformation based Approaches-Including Noise Effects[J].Progress in Electromagnetic Research,2007,72:145-158.

[61]Lee K C,Ou J S.Radar Target Recognition by Using Linear Discriminant Algorithm on Angular-diversity RCS[J].Journal of Electromagnetic Waves and Applications,2007,21(14):2033-2048.

[62]Lee K C,Huang C H,Fang M C.Radar Target Recognition By Projected Features of Frequency-diversity RCS[J].Progress in Electromagnetic Research,2008,81:121-133.

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