HRWS SAR图像舰船目标监视技术研究综述

邢相薇,  计科峰,  康利鸿,  詹明

文章导航 > 雷达学报  > 2015 >  4(1): 107-121
邢相薇, 计科峰, 康利鸿, 詹明. HRWS SAR图像舰船目标监视技术研究综述[J]. 雷达学报, 2015, 4(1): 107-121. doi: 10.12000/JR14144
引用本文: 邢相薇, 计科峰, 康利鸿, 詹明. HRWS SAR图像舰船目标监视技术研究综述[J]. 雷达学报, 2015, 4(1): 107-121. doi: 10.12000/JR14144
shu
Xing Xiang-wei, Ji Ke-feng, Kang Li-hong, Zhan Ming. Review of Ship Surveillance Technologies Based on High-Resolution Wide-Swath Synthetic Aperture Radar Imaging[J]. Journal of Radars, 2015, 4(1): 107-121. doi: 10.12000/JR14144
Citation: Xing Xiang-wei, Ji Ke-feng, Kang Li-hong, Zhan Ming. Review of Ship Surveillance Technologies Based on High-Resolution Wide-Swath Synthetic Aperture Radar Imaging[J]. Journal of Radars, 2015, 4(1): 107-121. doi: 10.12000/JR14144
shu

HRWS SAR图像舰船目标监视技术研究综述

doi: 10.12000/JR14144
  • 1.

    (北京遥感信息研究所 北京 100092)

  • 2.

    (国防科学技术大学电子科学与工程学院 长沙 410073)

基金项目: 

国家自然科学基金(61372163)资助课题

详细信息
    作者简介:

    邢相薇(1985-)，男，博士，主要研究方向为SAR图像海洋目标检测与识别、模式识别等。 计科峰(1974-)，男，副教授，主要研究方向为SAR图像解译、SAR与AIS关联、特征提取等。

Review of Ship Surveillance Technologies Based on High-Resolution Wide-Swath Synthetic Aperture Radar Imaging

  • 1.

    (Beijing Institute of Remote Sensing Information, Beijing 100092, China)

  • 2.

    (School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)

    摘要
  • 摘要: 合成孔径雷达(Synthetic Aperture Radar, SAR)是实现舰船目标监视应用的重要遥感手段之一。高分辨率宽测绘带(High Resolution Wide Swath, HRWS) SAR 能够同时获取方位向高分辨率和宽测绘带SAR数据，为SAR图像舰船目标监视带来了新的机遇和挑战。该文综述了国内外SAR图像舰船目标监视技术研究现状，总结了舰船监视对SAR成像系统基本性能要求，结合HRWS SAR成像特点，分析了舰船目标监视面临的关键技术问题，重点介绍了研究小组在HRWS SAR图像舰船目标检测、特征提取、分类识别等关键问题的解决方案和初步研究成果，并指出需进一步研究的方向。

     

    Abstract: Synthetic Aperture Radar (SAR) is widely used in ship surveillance. High-Resolution Wide-Swath (HRWS) SAR data are simultaneously collected, which introduces challenges and offers new research opportunities. SAR-based ship-surveillance technologies and the performance requirements of SAR systems are reviewed and summarized. Furthermore, the characteristics of HRWS SAR imaging and ship surveillance technologies are considered in tandem, and preliminary research results on ship detection, feature extraction, and classification are discussed. Finally, we point out issues to be addressed in future work.

     

    • HTML全文
    • 参考文献(45)
  • [1] Moreira A, et al.. A tutorial on synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(1): 6-43.
    [2] 邓云凯, 赵凤军, 王宇. 星载SAR 技术的发展趋势及应用浅 析[J]. 雷达学报, 2012, 1(1): 1-10. Deng Yun-kai, Zhao Feng-jun, and Wang Yu. Brief analysis on the development and application of spaceborne SAR[J]. Journal of Radars, 2012, 1(1): 1-10.
    [3] Ouchi K. Recent trend and advance of synthetic aperture radar with selected topics[J]. Remote Sensing, 2013, 5(2): 716-807.
    [4] Colinas J, Seguin G, and Plourde P. Radarsat constellation, moving toward implementation[C]. IEEE International Geoscience and Remote Sensing Symposium, Honolulu, USA, 2010: 3232-3235.
    [5] 林幼权. 星载高分辨率宽幅成像技术分析[J]. 现代雷达, 2011, 33(1): 1-6. Lin You-quan. Analysis of high-resolution wide-swath technology for spaceborne SAR[J]. Modern Radar, 2011, 33(1): 1-6.
    [6] 赖涛. 星载多通道SAR 高分辨宽测绘带成像方法研究[D].[博士论文], 国防科学技术大学, 2010. Lai Tao. Study on HRWS imaging methods of multi-channel spaceborne SAR[D]. [Ph.D. dissertation], National University of Defense Technology, 2010.
    [7] Suess M, Grafmueller B, and Zahn R. A novel high resolution, wide swath SAR system[C]. IEEE International Geoscience and Remote Sensing Symposium, Sydney, 2001, 3: 1013-1015.
    [8] Li Zhe-fang, Wang Hong-yang, Su Tao, et al.. Generation of wide-swath and high-resoulution SAR images from multichannel small spaceborne SAR systems[J]. IEEE Geoscience and Remote Sensing Letters, 2005, 2(1): 82-86.
    [9] Krieger G, et al.. Advanced concepts for high-resolution wide-swath SAR imaging[C]. 8th European Conference on Synthetic Aperture Radar, Aachen, Germany, 2010: 524-527.
    [10] 刘光炎, 孟喆, 胡学成. 非均匀采样SAR 信号的不模糊成像 与重构[J]. 电子科技大学学报, 2010, 39(6): 850-853. Wang Guang-yan, Meng Zhe, and Hu Xue-cheng. Unambiguous reconstruction and imaging of nonuniform sampling SAR signal[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(6): 850-853.
    [11] Vachon P W. Validation of ship detection by the RADARSAT synthetic aperture radar and the ocean monitoring workstation[J]. Canadian Journal of Remote Sensing, 2000, 26(3): 200-212.
    [12] Pichel W G and Clemente-Colon P. NOAA coastwatch SAR applications and demonstration[J]. Johns Hopkins APL Technical Digest, 2000, 21(1): 49-57.
    [13] Wackerman C C, et al.. Automatic detection of ships in Radarsat-1 SAR imagery[J]. Canadian Journal of Remote Sensing, 2001, 27(5): 568-577.
    [14] 张风丽, 张磊, 吴炳方. 欧盟船舶遥感探测技术与系统研究的 进展[J]. 遥感学报, 2007, 11(4): 552-562. Zhang Feng-li, Zhang Lei, and Wu Bing-fang. Progress of ship detection technology and system based on remote sensing technology in European union[J]. Journal of Remote Sensing, 2007, 11(4): 552-562.
    [15] Greidanus H and Kourti N. DECLIMSWPS Status and Plans[R]. Farnborough, UK, 2005.
    [16] Lemoine G, et al.. Evaluation of vessel detection system use for monitoring of fisheries activities[C]. ICES Annual Science Conference, Maastricht, 2006: 1-10.
    [17] Margarit G, Tabasco A, and Gomez C. Maritime situational awareness: the MARISS experience[C]. The 3rd International Workshop on Advances in SAR Oceanography from Envisat, ERS and ESA third party missions, Frascati, Italy, 2010:1-8.
    [18] Margarit G, Jos A, Milans B, et al.. Operational ship monitoring system based on synthetic aperture radar processing[J]. Remote Sensing, 2009, 1(3): 375-392.
    [19] Teutsch M and Saur G. Segmentation and classification of man-made maritime objects in TerraSAR-X images[C]. IEEE International Geoscience and Remote Sensing Symposium, Vancouver, Canada, 2011: 2657-2660.
    [20] Estable S, et al.. Detection and classification of offshore artificial objects in TerraSAR-X images: first outcomes of the DeMarine-DEKO project[C]. Europe Oceans 2009, Bremen, Germany, 1-8.
    [21] 种劲松, 欧阳越, 朱敏慧. 合成孔径雷达海洋目标检测[M]. 北京: 海洋出版社, 2006, 第2 章. Chong Jin-song, Ouyang Yue, and Zhu Min-hui. Ocean Target Detection of Synthetic Aperture Radar[M]. Beijing: Ocean Press, 2006, Chapter 2.
    [22] 张亮. SAR 图像舰船目标检测方法研究[D]. [硕士论文], 国防 科技大学, 2007. Zhang Liang. Research on the methods of ship detection from SAR imagery[D]. [Master dissertation], National University of Defense Technology, 2007.
    [23] 邢相薇. SAR 图像舰船目标检测研究[D]. [硕士论文], 国防科 学技术大学, 2009. Xing Xiang-wei. Research of ship detection on SAR imagery[D]. [Master dissertation], National University of Defense Technology, 2009.
    [24] Xing Xiang-wei, Ji Ke-feng, Zou Huan-xin, et al.. A fast ship detection algorithm in SAR imagery for wide area ocean surveillance[C]. IEEE Radar Conference, Atlanta, USA, 2012: 570-574.
    [25] Xing Xiang-wei, Ji Ke-feng, Zou Huan-xin, et al.. Ship classification in TerraSAR-X images with feature space based sparse representation[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1562-1566.
    [26] Zhao Zhi, Ji Ke-feng, Xing Xiang-wei, et al.. Ship surveillance by integration of space-borne SAR and AISFurther research[J]. Journal of Navigation, 2014, 67(2): 295-309.
    [27] Hu Can-bin, Ferro-Famil L, and Kuang Gang-yao. Ship discrimination using polarimetric SAR data and coherent time-frequency analysis[J]. Remote Sensing, 2013, 5(12): 6899-6920.
    [28] 殷雄, 王超, 张红, 等. 基于结构特征的高分辨率TerraSAR-X 船舶识别方法研究[J]. 中国图象图形学报, 2012, 17(1): 106-113. 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.
    [29] Wang Chao, Jiang Shao-feng, Zhang Hong et al.. Ship detection for high-resolution SAR images based on feature analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 119-123.
    [30] 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. Zhang Xi, Zhang Jie, Ji Yong-gang, et al.. The capability analysis of ship classification by structure feature using SAR images[J]. Acta Oceanologica Sinica, 2010, 32(1): 146-152.
    [31] Brusch S, et al.. Ship surveillance with TerraSAR-X[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(3): 1092-1113.
    [32] Margarit G, Tabasco A, and Gomez C. Maritime situational awareness: the MARISS experience[C]. The 3rd International Workshop on Advances in SAR Oceanography from Envisat, ERS and ESA Third Party Missions, Frascati (Rome), Italy, 2010.
    [33] Vincius M and da Silva Simes. Ship detection performance predictions for next generation spaceborne synthetic[D].[Ph.D. dissertation], Monterey, California: Naval Postgraduate School, 2001.
    [34] Chaturvedi S K, Yang Chan-su, Song Jung-hwan, et al.. Integrarion of SAR data and AIS report for ship detection and identification[C]. Proceedings SPIE 8372 Ocean Sensing and Monitoring IV, Baltimore, Maryland, 2012: 83720A-83720A.
    [35] Hou Biao, Chen Xing-zhong, and Jiao Li-cheng. Multilayer CFAR detection of ship targets in very high resolution SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(4): 811-815.
    [36] Wang Ying-hua and Liu Hong-wei. A hierarchical ship detection scheme for high-resolution SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 50(10): 4173-4184.
    [37] Qin Xian-xiang, Zhou Shi-lin, Zou Huan-xin, et al.. A CFAR detection algorithm for generalized gamma distributed background in high-resolution SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(4): 806-810.
    [38] Velotto D, Soccorsi M, and Lehner S. Azimuth ambiguities removal for ship detection using full polarimetric X-band SAR data[C]. IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 2012: 7621-7624.
    [39] Wei Ju-jie, Li Ping-xiang, Yang Jie, et al.. A new automatic ship detection method using L-band polarimetric SAR imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4): 1383-1393.
    [40] Jung C H, et al.. Double-step fast CFAR scheme for multiple target detection in high resolution SAR images[C]. IEEE International Geoscience and Remote Sensing Symposium, Honolulu, USA, 2010: 1172-1175.
    [41] Yang Tao-li, Li Zhen-fang, Suo Zhi-yong, et al.. Ground moving target indication for high-resolution wide-swath synthetic aperture radar systems[J]. IET Radar, Sonar Navigation, 2014, 8(3): 227-232.
    [42] Ceruti-Maori D and Christoph I S. Detection and imaging of moving objects with high-resolution wide-swath SAR systems[C]. Proceedings of 10th European Conference on Synthetic Aperture Radar, Berlin, Germany, 2014: 977-980.
    [43] 邢相薇. HRWS SAR 图像舰船目标监视关键技术研究[D]. [博 士论文], 国防科学技术大学, 2014. Xing Xiang-wei. Research on key technologies for ship survelliance based on HRWS SAR imagery[D]. [Ph.D. dissertation], National University of Defense Technology, 2014.
    [44] Xing Xiang-wei, Ji Ke-feng, Zou Huan-xin, et al.. Feature selection and weighted SVM classifier based ship detection in PolSAR imagery [J]. International Journal of Remote Sensing, 2013, 34(22): 7925-7944.
    [45] Xing Xiang-wei, Ji Ke-feng, Zou Huan-xin, et al.. Ship classification in TerraSAR-X images with feature space based sparse representation[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1562-1566.
    • 相关文章
    • 施引文献
  • 资源附件(0)
  • 加载中
计量
  • 文章访问数:  3542
  • HTML全文浏览量:  447
  • PDF下载量:  2121
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-11-25
  • 修回日期:  2015-01-22
  • 网络出版日期:  2015-02-28

目录

    /

    返回文章
    返回

    京ICP备20021838号-8   本系统由 北京仁和汇智信息技术有限公司 开发    百度统计