Volume 10 Issue 1
Feb.  2021
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LIU Tao, YANG Ziyuan, JIANG Yanni, et al. Review of ship detection in polarimetric synthetic aperture imagery[J].Journal of Radars, 2021, 10(1): 1–19. doi: 10.12000/JR20155
Citation: LIU Tao, YANG Ziyuan, JIANG Yanni, et al. Review of ship detection in polarimetric synthetic aperture imagery[J].Journal of Radars, 2021, 10(1): 1–19. doi: 10.12000/JR20155

Review of Ship Detection in Polarimetric Synthetic Aperture Imagery (in English)

DOI: 10.12000/JR20155
Funds:  The National Natural Science Foundation of China (61771483)
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  • Polarimetric Synthetic Aperture Radar (PolSAR) uses two-dimensional pulse compression to obtain high-resolution images containing polarimetric information. PolSAR has been widely used in military reconnaissance, topographic mapping, environmental and natural disaster monitoring, marine ship detection, and related fields. Addressing the problems associated with sea-clutter modelling and parameter estimation, slow and small target detection, dense target detection, as well as other issues, still remains a challenge in PolSAR ship detection. In this paper, four main classes for PolSAR ship detection are summarized: target polarimetric feature detection, slow and small target detection, ship wake detection, and deep learning detection. In addition, the possible solutions to existing problems in each class are given, and their future development trends are predicted, which can provide some valuable suggestions for interested researchers.

     

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  • [1]
    CRISP D J. The state-of-the-art in ship detection in synthetic aperture radar imagery[R]. DSTO-RR-0272, 2004.
    [2]
    RANSON K J and SUN Guoqing. An evaluation of AIRSAR and SIR-C/X-SAR images for mapping northern forest attributes in Maine, USA[J]. Remote Sensing of Environment, 1997, 59(2): 203–222. doi: 10.1016/S0034-4257(96)00154-X
    [3]
    代大海, 王雪松, 肖顺平, 等. PolSAR系统与技术的发展趋势[J]. 雷达科学与技术, 2008, 6(1): 15–22. doi: 10.3969/j.issn.1672-2337.2008.01.003

    DAI Dahai, WANG Xuesong, and XIAO Shunping, et al. Development trend of PolSAR system and technology[J]. Radar Science and Technology, 2008, 6(1): 15–22. doi: 10.3969/j.issn.1672-2337.2008.01.003
    [4]
    匡纲要, 陈强, 蒋咏梅, 等. 极化合成孔径雷达基础理论及其应用[M]. 长沙: 国防科技大学出版社, 2011.

    KUANG Gangyao, CHEN Qiang, JIANG Yongmei, et al. Polarimetric Synthetic Aperture Radar Basic Principles and Its Applications[M]. Changsha: University of Defense Science and Technology Press, 2011.
    [5]
    刘涛, 崔浩贵, 谢恺, 等. 极化合成孔径雷达图像解译技术[M]. 北京: 国防工业出版社, 2017.

    LIU Tao, CUI Haogui, XIE Kai, et al. Interpretation Techniques in Polarimetic Synthetic Apture Radar Imagery[M]. Beijing: National Defense Industry Press, 2017.
    [6]
    MARINO A, CLOUDE S R, and WOODHOUSE I H. Detecting depolarized targets using a new geometrical perturbation filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(10): 3787–3799. doi: 10.1109/TGRS.2012.2185703
    [7]
    LIU Tao, YANG Ziyuan, MARINO A, et al. PolSAR ship detection based on neighborhood polarimetric covariance matrix[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, in press. doi: 10.1109/TGRS.2020.3022181
    [8]
    LIU Tao, YANG Ziyuan, ZHANG Tao, et al. A new form of the polarimetric notch filter[J]. IEEE Geoscience and Remote Sensing Letters, 2020, in press. doi: 10.1109/LGRS.2020.3020052
    [9]
    SCIOTTI M, PASTINA D, and LOMBARDO P. Polarimetric detectors of extended targets for ship detection in SAR images[C]. IEEE 2001 International Geoscience and Remote Sensing Symposium Scanning the Present and Resolving the Future, Sydney, Australia, 2001.
    [10]
    张鹏, 张嘉峰, 刘涛. 雷达多视极化检测器性能对比分析[J]. 电波科学学报, 2017, 32(4): 416–426. doi: 10.13443/j.cjors.2017022401

    ZHANG Peng, ZHANG Jiafeng, and LIU Tao. Contrastive analysis of the performances of radar multi-look polarimetric detectors[J]. Chinese Journal of Radio Science, 2017, 32(4): 416–426. doi: 10.13443/j.cjors.2017022401
    [11]
    BOERNER W M, KOSTINSKI A B, and JAMES B D. On the concept of the polarimetric matched filter in high resolution radar imaging: An alternative for speckle reduction[C]. International Geoscience and Remote Sensing Symposium, ‘Remote Sensing: Moving Toward the 21st Century’, Edinburgh, UK, 1988: 69–72.
    [12]
    NOVAK L M, SECHTIN M B, and CARDULLO M J. Studies of target detection algorithms that use polarimetric radar data[J]. IEEE Transactions on Aerospace and Electronic Systems, 1989, 25(2): 150–165. doi: 10.1109/7.18677
    [13]
    CHANEY R D, BUD M C, and NOVAK L M. On the performance of polarimetric target detection algorithms[J]. IEEE Aerospace and Electronic Systems Magazine, 1990, 5(11): 10–15. doi: 10.1109/62.63157
    [14]
    NOVAK L M and BURL M C. Optimal speckle reduction in polarimetric SAR imagery[J]. IEEE Transactions on Aerospace and Electronic Systems, 1990, 26(2): 293–305. doi: 10.1109/7.53442
    [15]
    YANG Jian, YAMAGUCHI Y, BOERNER W M, et al. Numerical methods for solving the optimal problem of contrast enhancement[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(2): 965–971. doi: 10.1109/36.84197
    [16]
    YANG Dongwen, DU Lan, LIU Hongwei, et al. Novel polarimetric contrast enhancement method based on minimal clutter to signal ratio subspace[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11): 8570–8583. doi: 10.1109/TGRS.2019.2921629
    [17]
    NOVAK L M. Target detection studies using fully polarimetric data collected by the Lincoln Laboratory MMW SAR[C]. 92 International Conference on Radar, Brighton, UK, 1992.
    [18]
    LIU Tao, YANG Ziyuan, YANG Jian, et al. CFAR ship detection methods using compact polarimetric SAR in a K-Wishart distribution[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(10): 3737–3745. doi: 10.1109/JSTARS.2019.2923009
    [19]
    LOPES A and SERY F. Optimal speckle reduction for the product model in multilook polarimetric SAR imagery and the Wishart distribution[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(3): 632–647. doi: 10.1109/36.581979
    [20]
    LIU Guoqing, HUANG Shunji, TORRE A, et al. The multilook polarimetric whitening filter (MPWF) for intensity speckle reduction in polarimetric SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3): 1016–1020. doi: 10.1109/36.673694
    [21]
    LIU Tao, ZHANG Jiafeng, GAO Gui, et al. CFAR ship detection in polarimetric synthetic aperture radar images based on whitening filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 58(1): 58–81. doi: 10.1109/TGRS.2019.2931353
    [22]
    GAO Gui, LI Gaosheng, and LI Yipeng. Shape parameter estimator of the generalized Gaussian distribution based on the MoLC[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(3): 350–354. doi: 10.1109/LGRS.2017.2787558
    [23]
    GAO Gui, OUYANG Kewei, LUO Yongbo, et al. Scheme of parameter estimation for generalized gamma distribution and its application to ship detection in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3): 1812–1832. doi: 10.1109/TGRS.2016.2634862
    [24]
    GAO Gui, LUO Yongbo, OUYANG Kewei, et al. Statistical modeling of PMA detector for ship detection in high-resolution dual-polarization SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4302–4313. doi: 10.1109/TGRS.2016.2539200
    [25]
    GAO Gui, WANG Xiaoyang, and NIU Min. Statistical modeling of the reflection symmetry metric for sea clutter in dual-polarimetric SAR data[J]. IEEE Journal of Oceanic Engineering, 2016, 41(2): 339–345. doi: 10.1109/JOE.2015.2458231
    [26]
    冷祥光, 计科峰, 熊博莅, 等. 面向舰船目标检测的单通道复值SAR图像统计建模方法研究[J]. 雷达学报, 2020, 9(3): 477–496. doi: 10.12000/JR20070

    LENG Xiangguang, JI Kefeng, XIONG Boli, et al. Statistical modeling methods of single-channel complex-valued SAR images for ship detection[J]. Journal of Radars, 2020, 9(3): 477–496. doi: 10.12000/JR20070
    [27]
    TAO Ding, ANFINSEN S N, and BREKKE C. Robust CFAR detector based on truncated statistics in multiple-target situations[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 117–134. doi: 10.1109/TGRS.2015.2451311
    [28]
    LIU Tao, YANG Ziyuan, MARINO A, et al. Robust CFAR detector based on truncated statistics for polarimetric synthetic aperture radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(9): 6731–6747. doi: 10.1109/TGRS.2020.2979252
    [29]
    LANG Haitao, XI Yuyang, and ZHANG Xi. Ship detection in high-resolution SAR images by clustering spatially enhanced pixel descriptor[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(8): 5407–5423. doi: 10.1109/TGRS.2019.2899337
    [30]
    NUNZIATA F, MIGLIACCIO M, and BROWN C E. Reflection symmetry for polarimetric observation of man-made metallic targets at sea[J]. IEEE Journal of Oceanic Engineering, 2012, 37(3): 384–394. doi: 10.1109/JOE.2012.2198931
    [31]
    WANG Na, SHI Gongtao, LIU Li, et al. Polarimetric SAR target detection using the reflection symmetry[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(6): 1104–1108. doi: 10.1109/LGRS.2012.2189548
    [32]
    MARINO A. A notch filter for ship detection with polarimetric SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1219–1232. doi: 10.1109/JSTARS.2013.2247741
    [33]
    MARINO A and HAJNSEK I. Statistical tests for a ship detector based on the polarimetric notch filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8): 4578–4595. doi: 10.1109/TGRS.2015.2402312
    [34]
    GAO Gui and SHI Gongtao. CFAR ship detection in nonhomogeneous sea clutter using polarimetric SAR data based on the notch filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8): 4811–4824. doi: 10.1109/TGRS.2017.2701813
    [35]
    GAO Gui and SHI Gongtao. Ship detection in dual-channel ATI-SAR based on the notch filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8): 4795–4810. doi: 10.1109/TGRS.2017.2701810
    [36]
    GAO Gui, GAO Sheng, HE Juan, et al. Ship detection using compact polarimetric SAR based on the notch filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(9): 5380–5393. doi: 10.1109/TGRS.2018.2815582
    [37]
    CLOUDE S R and POTTIER E. A review of target decomposition theorems in radar polarimetry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(2): 498–518. doi: 10.1109/36.485127
    [38]
    RINGROSE R and HARRIS N. Ship detection using polarimetric SAR data[J]. European Space Agency ESA SP, 2000, 450(450): 687.
    [39]
    TOUZI R, CHARBONNEAU F, HAWKINS R K, et al. Ship-sea contrast optimization when using polarimetric SARs[C]. IEEE 2001 International Geoscience and Remote Sensing Symposium Scanning the Present and Resolving the Future, Sydney, Australia, 2001.
    [40]
    TOUZI R. Calibrated polarimetric SAR data for ship detection[C]. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120), Honolulu, USA, 2000.
    [41]
    CHEN Jiong, CHEN Yilun, and YANG Jian. Ship detection using polarization cross-entropy[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(4): 723–727. doi: 10.1109/LGRS.2009.2024224
    [42]
    SUGIMOTO M, OUCHI K, and NAKAMURA Y. On the novel use of model-based decomposition in SAR polarimetry for target detection on the sea[J]. Remote Sensing Letters, 2013, 4(9): 843–852. doi: 10.1080/2150704X.2013.804220
    [43]
    YANG Jian, DONG Guiwei, PENG Yingning, et al. Generalized optimization of polarimetric contrast enhancement[C]. IEEE Antennas and Propagation Society International Symposium. Digest. Held in conjunction with: USNC/CNC/URSI North American Radio Sci. Meeting (Cat. No. 03CH37450), Columbus, USA, 2003.
    [44]
    YIN Junjun, YANG Jian, XIE Chunhua, et al. An improved generalized optimization of polarimetric contrast enhancement and its application to ship detection[J]. IEICE Transactions on Communications, 2013, E96.B(7): 2005–2013. doi: 10.1587/transcom.E96.B.2005
    [45]
    TOUZI R, HURLEY J, and VACHON P W. Optimization of the degree of polarization for enhanced ship detection using polarimetric RADARSAT-2[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(10): 5403–5424. doi: 10.1109/TGRS.2015.2422134
    [46]
    BORDBARI R and MAGHSOUDI Y. A new target detector based on subspace projections using polarimetric SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(5): 3025–3039. doi: 10.1109/TGRS.2018.2879681
    [47]
    殷君君, 安文韬, 杨健. 基于极化散射参数与Fisher-OPCE的监督目标分类[J]. 清华大学学报: 自然科学版, 2011, 51(12): 1782–1786.

    YIN Junjun, AN Wentao, and YANG Jian. Supervised target classification using polarimetric scattering parameters and Fisher-OPCE[J]. Journal of Tsinghua University:Science and Technology, 2011, 51(12): 1782–1786.
    [48]
    CUI Xingchao, CHEN Siwei, and SU Yi. Ship detection in polarimetric SAR image based on similarity test[C]. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019. doi: 10.1109/IGARSS.2019.8900480.
    [49]
    HE Jinglu, WANG Yinghua, LIU Hongwei, et al. A novel automatic PolSAR ship detection method based on superpixel-level local information measurement[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(3): 384–388. doi: 10.1109/LGRS.2017.2789204
    [50]
    LANG Haitao, TAO Yunhong, NIU Lihui, et al. A new scattering similarity based metric for ship detection in polarimetric synthetic aperture radar image[J]. Acta Oceanologica Sinica, 2020, 39(5): 145–150. doi: 10.1007/s13131-020-1563-7
    [51]
    CUI Xingchao, SU Yi, and CHEN Siwei. A saliency detector for polarimetric SAR ship detection using similarity test[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(9): 3423–3433. doi: 10.1109/JSTARS.2019.2925833
    [52]
    HUANG Xiaojing, HUANG Pingping, DONG Lixia, et al. Saliency detection based on distance between patches in polarimetric SAR images[C]. 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, Canada, 2014.
    [53]
    JÄGER M and HELLWICH O. Saliency and salient region detection in SAR polarimetry[C]. 2005 IEEE International Geoscience and Remote Sensing Symposium, Seoul, South Korea, 2005.
    [54]
    WANG Haipeng, XU Feng, and CHEN Shanshan. Saliency detector for SAR images based on pattern recurrence[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(7): 2891–2900. doi: 10.1109/JSTARS.2016.2521709
    [55]
    LIN Huiping, CHEN Hang, JIN Kan, et al. Ship detection with superpixel-level fisher vector in high-resolution SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17(2): 247–251. doi: 10.1109/LGRS.2019.2920668
    [56]
    ZHANG Tao, JI Jinsheng, LI Xiaofeng, et al. Ship detection from PolSAR imagery using the complete polarimetric covariance difference matrix[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 57(5): 2824–2839. doi: 10.1109/TGRS.2018.2877821
    [57]
    ZHANG Tao, YANG Zhen, GAN Hongping, et al. PolSAR ship detection using the joint polarimetric information[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(11): 8225–8241. doi: 10.1109/TGRS.2020.2989425
    [58]
    PERRY R P, DIPIETRO R C, and FANTE R L. SAR imaging of moving targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(1): 188–200. doi: 10.1109/7.745691
    [59]
    GAO Gui, WANG Xiaoyang, and LAI Tao. Detection of moving ships based on a combination of magnitude and phase in along-track interferometric SAR—Part II: Statistical modeling and CFAR detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(7): 3582–3599. doi: 10.1109/TGRS.2014.2379351
    [60]
    GAO Gui, WANG Xiaoyang, and LAI Tao. Detection of moving ships based on a combination of magnitude and phase in along-track interferometric SAR—Part I: SIMP metric and its performance[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(7): 3565–3581. doi: 10.1109/TGRS.2014.2379352
    [61]
    GAO Gui and SHI Gongtao. The CFAR detection of ground moving targets based on a joint metric of SAR interferogram’s magnitude and phase[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(9): 3618–3624. doi: 10.1109/TGRS.2012.2184836
    [62]
    PARK H R, LI Jian, and WANG Hong. Polarization-space-time domain generalized likelihood ratio detection of radar targets[J]. Signal Processing, 1995, 41(2): 153–164. doi: 10.1016/0165-1684(94)00097-J
    [63]
    PARK H R, KWAG Y K, and WANG Hong. An efficient adaptive polarimetric processor with an embedded CFAR[J]. ETRI Journal, 2003, 25(3): 171–178. doi: 10.4218/etrij.03.0102.0316
    [64]
    WANG Genyuan, XIA Xianggen, and CHEN V C. Radar imaging of moving targets in foliage using multifrequency multiaperture polarimetric SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(8): 1755–1764. doi: 10.1109/TGRS.2003.813501
    [65]
    FRIEDLANDER B and PORAT B. VSAR: A high resolution radar system for detection of moving targets[J]. IEE Proceedings-Radar,Sonar and Navigation, 1997, 144(4): 205–218. doi: 10.1049/ip-rsn:19971309
    [66]
    LIU Zhongxun, DAI Dahai, LI Dun, et al. Optimal polarimetric interferometry coherence analysis in detection and location of moving target with SAR[C]. The 1st Asian and Pacific Conference on Synthetic Aperture Radar, Huangshan, China, 2007.
    [67]
    MATTAR K E, LIU Chen, and SABRY R. Polarimetric SAR interferometry: Investigations using EC CV-580 SAR data[R]. Ottawa: Defence Research and Development Canada Ottawa, 2005.
    [68]
    ZOU Bin, WEI Tao, and ZHANG Lamei. Moving targets detection and analysis on multi-look polarimetric SAR images using PWF method[C]. 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, USA, 2008.
    [69]
    LIU Chen and GIERULL C H. A new application for polsar imagery in the field of moving target indication/ship detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11): 3426–3436. doi: 10.1109/TGRS.2007.907192
    [70]
    LIU Chen. Time-frequency analysis of PolSAR moving target data[J]. Canadian Journal of Remote Sensing, 2007, 33(4): 237–249. doi: 10.5589/m07-019
    [71]
    STACY N and PREISS M. Polarimetric ATI slow target detection in a log likelihood framework[C]. 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013.
    [72]
    李延伟. 单/双基地极化干涉SAR信号建模、检测及参数反演方法研究[D]. [博士论文], 国防科学技术大学, 2010.

    LI Yanwei. Study on the method of the modeling, the detection and the parameter inversion for the mono/bi static polarimetric SAR interferometry[D]. [Ph. D. dissertation], National University of Defense Technology, 2010.
    [73]
    CHIU S, GIERULL C, and RASHID M. First results of experimental polarimetric SAR-GMTI modes on RADARSAT-2[C]. 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.
    [74]
    CHIU S, GIERULL C, and RASHID M. Ship detection, discrimination, and motion estimation via spaceborne polarimetric SAR-GMTI[C]. 2019 IEEE Radar Conference, Boston, USA, 2019.
    [75]
    ZHANG Peng, ZHANG Jiafeng, and LIU Tao. Constant false alarm rate detection of slow targets in polarimetric along-track interferometric synthetic aperture radar imagery[J]. IET Radar,Sonar&Navigation, 2019, 13(1): 31–44. doi: 10.1049/iet-rsn.2018.5082
    [76]
    张鹏, 张嘉峰, 刘涛. 基于相干度优化的极化顺轨干涉SAR慢小目标CFAR检测[J]. 北京航空航天大学学报, 2019, 45(3): 575–587. doi: 10.13700/j.bh.1001-5965.2018.0322

    ZHANG Peng, ZHANG Jiafeng, and LIU Tao. Slow and small target CFAR detection of polarimetric along-track interferometric SAR using coherence optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(3): 575–587. doi: 10.13700/j.bh.1001-5965.2018.0322
    [77]
    OUCHI K. On the multilook images of moving targets by synthetic aperture radars[J]. IEEE Transactions on Antennas and Propagation, 1985, 33(8): 823–827. doi: 10.1109/TAP.1985.1143684
    [78]
    KIRSCHT M. Detection and velocity estimation of moving objects in a sequence of single-look SAR images[C]. 1996 International Geoscience and Remote Sensing Symposium, Lincoln, USA, 1996.
    [79]
    GAO Fei, MAO Shiyi, SUN Jinping, et al. A tri-look detector for single channel SAR-GMTI[C]. 2009 IET International Radar Conference, Guilin, China, 2009.
    [80]
    康雪艳, 杨汝良. 利用DPCA方法对机载单天线SAR实际数据进行动目标检测[J]. 遥感技术与应用, 2004, 19(3): 182–186. doi: 10.3969/j.issn.1004-0323.2004.03.009

    KANG Xueyan and YANG Ruliang. Moving targets detection using DPCA Method for single-antenna airborne SAR real data[J]. Remote Sensing Technology and Application, 2004, 19(3): 182–186. doi: 10.3969/j.issn.1004-0323.2004.03.009
    [81]
    张露, 郭华东, 韩春明, 等. 基于子孔径分解的SAR动目标检测方法[J]. 电子学报, 2008, 36(6): 1210–1213. doi: 10.3321/j.issn:0372-2112.2008.06.034

    ZHANG Lu, GUO Huadong, HAN Chunming, et al. Moving targets detection in SAR images based on sub-aperture decomposition[J]. Acta Electronica Sinica, 2008, 36(6): 1210–1213. doi: 10.3321/j.issn:0372-2112.2008.06.034
    [82]
    康雪艳, 杨汝良. 对机载单天线SAR实际数据进行ATI动目标检测的新方法[J]. 电子学报, 2005, 33(3): 416–418. doi: 10.3321/j.issn:0372-2112.2005.03.008

    KANG Xueyan and YANG Ruliang. A new method of moving target detection using ATI for single-antenna airborne SAR real data[J]. Acta Electronica Sinica, 2005, 33(3): 416–418. doi: 10.3321/j.issn:0372-2112.2005.03.008
    [83]
    MARINO A, SANJUAN-FERRER M J, HAJNSEK I, et al. Ship detection with spectral analysis of synthetic aperture radar: A comparison of new and well-known algorithms[J]. Remote Sensing, 2015, 7(5): 5416–5439. doi: 10.3390/rs70505416
    [84]
    种劲松, 朱敏慧. SAR图像舰船及其尾迹检测研究综述[J]. 电子学报, 2003, 31(9): 1356–1360. doi: 10.3321/j.issn:0372-2112.2003.09.020

    CHONG Jinsong and ZHU Minhui. Survey of the study on ship and wake detection in SAR imagery[J]. Acta Electronica Sinica, 2003, 31(9): 1356–1360. doi: 10.3321/j.issn:0372-2112.2003.09.020
    [85]
    SCHULER D L, LEE J S, HOPPEL K, et al. Polarimetric sar image signatures of gulf-stream features and ship wakes[C]. 1992 International Geoscience and Remote Sensing Symposium, Houston, USA, 1992.
    [86]
    POTTIER E, BOERNER W M, and SCHULER D L. Polarimetric detection and estimation of ship wakes[C]. IEEE 1999 International Geoscience and Remote Sensing Symposium, Hamburg, Germany, 1999.
    [87]
    WU Peng, WANG Jun, WANG Wenguang, et al. Polarimetric characters extraction research of Kelvin wakes on PolSAR image[C]. 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, Nanjing, China, 2011.
    [88]
    HENNINGS I, ROMEISER R, ALPERS W, et al. Radar imaging of Kelvin arms of ship wakes[J]. International Journal of Remote Sensing, 1999, 20(13): 2519–2543. doi: 10.1080/014311699211912
    [89]
    叶文隽. SAR图像舰船尾迹检测研究[D]. [硕士论文], 国防科学技术大学, 2009.

    YE Wenjun. Research on detection of ship wake from SAR imagery[D]. [Master dissertation], National University of Defense Technology, 2009.
    [90]
    IMBO P, SOUYRIS J C, and YEREMY M. Wake detection in polarimetric SAR images[C]. IEEE 2001 International Geoscience and Remote Sensing Symposium Scanning the Present and Resolving the Future, Sydney, Australia, 2001.
    [91]
    KASILINGAM D, SCHULER D, LEE J S, et al. Modulation of polarimetric coherence by ocean features[C]. 2002 IEEE International Geoscience and Remote Sensing Symposium, Toronto, Canada, 2002: 432–434.
    [92]
    MORRIS J, ANDERSON S, and PARFITT A. Polarimetric mapping of ship wakes[C]. 2002 IEEE International Geoscience and Remote Sensing Symposium, Toronto, Canada, 2002.
    [93]
    MORRIS J and ANDERSON S. An entropy-based approach to wake echo analysis [ship wake radar detection][C]. 2003 International Conference on Radar, Adelaide, Australia, 2003.
    [94]
    YANG Jingsong, HUANG Weigen, XIAO Qingmei, et al. Optimal polarization for the observation of ocean features with SAR[C]. 2004 IEEE International Geoscience and Remote Sensing Symposium, Anchorage, USA, 2004.
    [95]
    ARNOLD-BOS A, MARTIN A, and KHENCHAF A. A versatile bistatic & polarimetric marine radar simulator[C]. 2006 IEEE Conference on Radar, Verona, USA, 2006.
    [96]
    XU Zhou, TANG Bo, and CHENG Shuiying. Faint ship wake detection in PolSAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(7): 1055–1059. doi: 10.1109/LGRS.2018.2823007
    [97]
    BIONDI F. Low-rank plus sparse decomposition and localized radon transform for ship-wake detection in synthetic aperture radar images[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(1): 117–121. doi: 10.1109/LGRS.2017.2777264
    [98]
    BIONDI F. A polarimetric extension of low-rank plus sparse decomposition and radon transform for ship wake detection in synthetic aperture radar images[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(1): 75–79. doi: 10.1109/LGRS.2018.2868365
    [99]
    徐丰, 王海鹏, 金亚秋, 等. 合成孔径雷达图像智能解译[M]. 北京: 科学出版社, 2020.

    XU Feng, WANG Haipeng, JIN Yaqiu, et al. Synthetic Aperture Radar Image Intelligent Interpretation[M]. Beijing: Science Press, 2020.
    [100]
    SAIN S R. The nature of statistical learning theory[J]. Technometrics, 1996, 38(4): 409. doi: 10.1080/00401706.1996.10484565
    [101]
    杜兰, 王兆成, 王燕, 等. 复杂场景下单通道SAR目标检测及鉴别研究进展综述[J]. 雷达学报, 2020, 9(1): 34–54. doi: 10.12000/JR19104

    DU Lan, WANG Zhaocheng, WANG Yan, et al. Survey of research progress on target detection and discrimination of single-channel SAR images for complex scenes[J]. Journal of Radars, 2020, 9(1): 34–54. doi: 10.12000/JR19104
    [102]
    GAO Gui. A parzen-window-kernel-based CFAR algorithm for ship detection in SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(3): 557–561. doi: 10.1109/LGRS.2010.2090492
    [103]
    张晓玲, 张天文, 师君, 等. 基于深度分离卷积神经网络的高速高精度SAR舰船检测[J]. 雷达学报, 2019, 8(6): 841–851. doi: 10.12000/JR19111

    ZHANG Xiaoling, ZHANG Tianwen, SHI Jun, et al. High-speed and high-accurate SAR ship detection based on a depthwise separable convolution neural network[J]. Journal of Radars, 2019, 8(6): 841–851. doi: 10.12000/JR19111
    [104]
    CHEN Siwei, TAO Chensong, WANG Xuesong, et al. Polarimetric SAR targets detection and classification with deep convolutional neural network[C]. 2018 Progress in Electromagnetics Research Symposium, Toyama, Japan, 2018.
    [105]
    ZHOU Feng, FAN Weiwei, SHENG Qiangqiang, et al. Ship detection based on deep convolutional neural networks for polsar images[C]. 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.
    [106]
    鲁兵兵. 基于深度学习的PolSAR图像分类与舰船检测方法[D]. [硕士论文], 西安电子科技大学, 2019.

    LU Bingbing. PolSAR image classification and ship detection method based on deep learning[D]. [Master dissertation], Xidian University, 2019.
    [107]
    JIN Kan, CHEN Yilun, XU Bin, et al. A patch-to-pixel convolutional neural network for small ship detection with PolSAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(9): 6623–6638. doi: 10.1109/TGRS.2020.2978268
    [108]
    COZZOLINO D, DI MARTINO G, POGGI G, et al. A fully convolutional neural network for low-complexity single-stage ship detection in sentinel-1 SAR images[C]. 2017 IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, USA, 2017: 886889.
    [109]
    李其. 基于深度特征的SAR图像舰船目标检测方法研究[D]. [硕士论文], 电子科技大学, 2020.

    LI Qi. Research of ship detection in SAR images based on depth features[D]. [Master dissertation], University of Electronic Science and Technology of China, 2020.
    [110]
    FITCH J P, LEHMAN S K, DOWLA F U, et al. Ship wake-detection procedure using conjugate gradient trained artificial neural networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 1991, 29(5): 718–726. doi: 10.1109/36.83986
    [111]
    KANG K M and KIM D J. Ship velocity estimation from ship wakes detected using convolutional neural networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(11): 4379–4388. doi: 10.1109/JSTARS.2019.2949006
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