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机载ISAR舰船侧视和俯视成像时间段选择

汪玲 朱兆达 朱岱寅

汪玲, 朱兆达, 朱岱寅. 机载ISAR舰船侧视和俯视成像时间段选择[J]. 电子与信息学报, 2008, 30(12): 2835-2839. doi: 10.3724/SP.J.1146.2007.00919
引用本文: 汪玲, 朱兆达, 朱岱寅. 机载ISAR舰船侧视和俯视成像时间段选择[J]. 电子与信息学报, 2008, 30(12): 2835-2839. doi: 10.3724/SP.J.1146.2007.00919
Wang Ling, Zhu Zhao-Da, Zhu Dai-Yin. Interval Selections for Side-view or Top-view Imaging of Ship Targets with Airborne ISAR[J]. Journal of Electronics and Information Technology, 2008, 30(12): 2835-2839. doi: 10.3724/SP.J.1146.2007.00919
Citation: Wang Ling, Zhu Zhao-Da, Zhu Dai-Yin. Interval Selections for Side-view or Top-view Imaging of Ship Targets with Airborne ISAR[J]. Journal of Electronics and Information Technology, 2008, 30(12): 2835-2839. doi: 10.3724/SP.J.1146.2007.00919

机载ISAR舰船侧视和俯视成像时间段选择

doi: 10.3724/SP.J.1146.2007.00919
基金项目: 

国家自然科学基金(60502030)和航空科学基金(05D52027)资助课题

Interval Selections for Side-view or Top-view Imaging of Ship Targets with Airborne ISAR

  • 摘要: 舰船目标成像是ISAR技术研究领域的热点,其关键是获得具有较高应用价值的舰船侧视图和俯视图。该文通过对数据分段短时成像,估计舰船在一系列子图像中的多普勒频率展宽和船体中心线斜率,获得雷达与舰船之间合成有效转动矢量和垂直转动分量随时间的变化。继而根据这两个转动矢量,判断海面环境情况和舰船摇摆强弱,对成像情况进行细分,确定侧视图和俯视图成像时刻,同时以该时刻为中心,通过使图像熵最小,获得最佳成像积累时间。仿真和机载ISAR实测数据处理验证了该时间段选择方法的有效性和实用性,可在未知海情下获得舰船的侧视图或者俯视图,有利于舰船目标的进一步识别。
  • [1] Damini A and Haslam G E. SAR/ISAR ship imaging:Theoretical analysis and practical results. EUSAR96,Konigswinter, Germany, 1996: 443-446. Rapsilber D. Air borne ISAR processor for ship targetimaging. EUSAR96, Konigswinter, Germany, 1996: 435-438. [2] Damini A and Haslam G E. Optimal SAR/ISAR dataselection for ship imaging. EUSAR2000, Munich, Germany,May 2000: 431-434. [3] Lacomme P, Hardange J P, and Marchais J C, et al.. Air andSpaceborne Radar Systems. New York: William AndrewPublishing, 2001, Chapter 17. [4] Li J F and Ling H. An algorithm to detect the presence of 3dtarget motion from ISAR data[J].Multidimensional Systemsand Signal Processing.2003, 14(1-3):223-240 [5] Hajduch G, Garello R, and LE J M Caillec, et al.. Highresolutionsnapshot SAR-ISAR imaging of ship targets at sea[J].Pro. SPIE.2003, 4883:39-47 [6] Hajduch G, LE J M Caillec, and Garello R. Airborne highresolutionISAR imaging of ship targets at sea. IEEE Trans.on AES, 2004, 40(1): 378-384. [7] Martorella M and Berizzi F. Time windowing for highlyfocused ISAR image reconstruction. IEEE Trans. on AES,2005, 41(3): 992-1007. [8] Rihaczek A W and Hershkowitz S J. Choosing imagingintervals for small ships[J].Pro. SPIE.1999, 3810:139-148 [9] Pastina D, Montanari A, and Aprile A. Motion estimationand optimum time selection for ship ISAR imaging. 2003IEEE Radar Conference, Huntsville, Alabama, U.S., 2003:7-14. [10] Pastina D and Spina C. A new technique for optimumformation and scaling of ship target ISAR images. EUSAR2004, Ulm, Germany, May 2004: 855-858. [11] Chen V C and Qian S. Reconstruction of ISAR image bytime-frequency distribution series. Proceedings of theInternational Symposium on Signals, Systems andElectronics, San Francisco, California, U.S., 1995: 251-254. [12] 保铮, 王根原, 罗琳. 逆合成孔径雷达的距离-瞬时多普勒成像方法. 电子学报, 1998, 26(12): 79-83.Bao Z, Wang G Y, and Luo L. Range-Instantaneous Dopplerimaging in ISAR. Acta Electronica Sinica, 1998, 26(12):79-83. [13] Wehner D R. High Resolution Radar. 2nd ed., Boston: ArtechHouse, 1995, Chapter 7. [14] Wang L, Zhu D Y, and Zhu Z D. Study on airborne ISARimaging of ship targets[J].IGARSS04 Proceedings, Anchorage,Alaska, U.S.2004, Vol.7:4666-4669 [15] Musman S, Kerr D, and Baciimann C. Automatic recognitionof ISAR ship images. IEEE Trans. on AES, 1996, 32(4):1392-1404. [16] Manolakis D, Ingle V K, and Kogon S M. Statistical andAdaptive Signal Processing. New York: McGraw-Hill, 2000,Chapter 3.
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  • 被引次数: 0
出版历程
  • 收稿日期:  2007-06-07
  • 修回日期:  2008-07-22
  • 刊出日期:  2008-12-19

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