高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于锥形尺度变换的弱小舰船目标检测

刘亚波 李亚超 邢孟道 保铮

刘亚波, 李亚超, 邢孟道, 保铮. 基于锥形尺度变换的弱小舰船目标检测[J]. 电子与信息学报, 2009, 31(11): 2575-2580. doi: 10.3724/SP.J.1146.2008.01447
引用本文: 刘亚波, 李亚超, 邢孟道, 保铮. 基于锥形尺度变换的弱小舰船目标检测[J]. 电子与信息学报, 2009, 31(11): 2575-2580. doi: 10.3724/SP.J.1146.2008.01447
Liu Ya-bo, Li Ya-chao, Xing Meng-dao, Bao Zheng. Detection of Weak Ship Target Based on Taper Scale Transform[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2575-2580. doi: 10.3724/SP.J.1146.2008.01447
Citation: Liu Ya-bo, Li Ya-chao, Xing Meng-dao, Bao Zheng. Detection of Weak Ship Target Based on Taper Scale Transform[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2575-2580. doi: 10.3724/SP.J.1146.2008.01447

基于锥形尺度变换的弱小舰船目标检测

doi: 10.3724/SP.J.1146.2008.01447
基金项目: 

国家自然科学基金重大项目(60890072)资助课题

Detection of Weak Ship Target Based on Taper Scale Transform

  • 摘要: 该文提出一种低信杂噪比下弱小舰船目标的检测方法。该方法对回波的慢时间瞬时自相关函数进行锥形尺度变换(Taper Scale Transform, TST),解除时延和慢时间的耦合。然后将TST后的信号相干积累,达到很好的检测效果。另外,该文分析了交叉项对检测的影响以及尺度因子的选择标准。实测数据的处理结果验证了该方法的有效性。
  • Zhang Xi, Zhang Jie, and Ji Yong gang. Comparison andevaluation of ship target detection algorithm with SARimages[C]. The 2nd International Workshop on Advance inSAR Oceanography From ENVISAT and ERS MISSIONS,Rome Italy, 21-25 January 2008, special publication.[2]Copeland A C. Localized radon transform-based detection ofship wakes in SAR images[J].IEEE Transactions onGeoscience and Remote Sensing.1995, 33(1):35-45[3]Perry R P, Dipietro R C, and Fante R L. SAR imaging ofmoving targets[J].IEEE Transactions on Aerospace andElectronic Systems.1999, 35(1):188-200[4]Bararossa S. Analysis of multicomponent LFM signals by acombined Wigner-Hough transform[J].IEEE Transactions onSignal Processing.1995, 43(6):1511-1515[5]张贤达, 保铮. 非平稳信号处理[M]. 第一版, 北京: 国防工业出版社, 2001: 20-22, 53-56.[6]Czerwinski R N and Jones D L. Adaptive short-time Fourieranalysis[J].IEEE Signal Processing Letters.1997, 4(2):42-45[7]Shu Ting and Liu Xing zhao. Moving target detection inairborne SAR by a combined Wigner-STFT transform[C].2007 1st Asian and Pacific Conference on Synthetic ApertureRadar Proceedings. Huangshan, China. 5-9 Nov 2007:298-301.[8]Akay O and Faye Boudreaux-Bartels G. Fractionalautocorrelation and its application to detection andestimation of linear FM signals[C]. Proceedings of theIEEE-SP International Symposium on Time-Frequency andTime-Scale Analysis, Pittsburgh USA, 1998: 213-216.[9]Sun H B, Liu G S, and Gu H, et al.. Application of thefractional Fourier transform to moving target detection inairborne SAR[J].IEEE Transactions on Aerospace andElectronic Systems.2002, 38(4):1416-1424[10]Qazi S, Georgakis A, and Stergioulas L K, et al.. Interferencesuppression in the wigner distribution using fractionalFourier transform and signal synthesis[J].IEEE Transactionson Signal Processing.2007, 55(6):3150-3154[11]Zhu Dai yin, Li Yong, and Zhu Zhao da. A keystonetransform without interpolation for SAR groundmoving-target imaging[J].IEEE Transactions on Geoscienceand Remote Sensing Letters.2007, 4(1):18-22[12]Lv Xiao lei, Xing Meng dao, and Zhang Shou hong, et al..Keystone transformation of the Wigner-Ville distribution foranalysis of multicomponent LFM signals[J].Signal Processing.2009, 89(5):791-806[13]Xing Meng dao, Wu Ren biao, and Li Ya chao, et al.. NewISAR imaging algorithm based on modified Wigner-Villedistribution[J].IEE Proceedings Radar Sonar Navigation.2009, 3(1):70-80
  • 加载中
计量
  • 文章访问数:  3253
  • HTML全文浏览量:  105
  • PDF下载量:  971
  • 被引次数: 0
出版历程
  • 收稿日期:  2008-11-03
  • 修回日期:  2009-04-09
  • 刊出日期:  2009-11-19

目录

    /

    返回文章
    返回