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

基于电磁散射的复杂目标SAR回波与图像仿真

张锐 洪峻 明峰

张锐, 洪峻, 明峰. 基于电磁散射的复杂目标SAR回波与图像仿真[J]. 电子与信息学报, 2010, 32(12): 2836-2841. doi: 10.3724/SP.J.1146.2009.01657
引用本文: 张锐, 洪峻, 明峰. 基于电磁散射的复杂目标SAR回波与图像仿真[J]. 电子与信息学报, 2010, 32(12): 2836-2841. doi: 10.3724/SP.J.1146.2009.01657
Zhang Rui, Hong Jun, Ming Feng. SAR Echo and Image Simulation of Complex Targets Based on Electromagnetic Scattering[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2836-2841. doi: 10.3724/SP.J.1146.2009.01657
Citation: Zhang Rui, Hong Jun, Ming Feng. SAR Echo and Image Simulation of Complex Targets Based on Electromagnetic Scattering[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2836-2841. doi: 10.3724/SP.J.1146.2009.01657

基于电磁散射的复杂目标SAR回波与图像仿真

doi: 10.3724/SP.J.1146.2009.01657

SAR Echo and Image Simulation of Complex Targets Based on Electromagnetic Scattering

  • 摘要: 复杂目标的SAR图像仿真技术,对于目标识别与解译研究具有重要意义。该文提出的仿真算法,从目标的3维模型出发,运用弹射线原理,通过仿真全方位,全频带的目标散射系数来构建回波并成像。改传统平面波入射为球面波入射,使得算法不仅能够仿真远场成像系统,也适用于近场仿真成像。标准体实验,验证了算法的近远场,全极化,多角度,宽频带的仿真能力;复杂目标的仿真结果,同实测数据相比十分逼真。
  • Chiang H C and Moses R L. Model-based classification of radar images[J].IEEE Transactions on Information Theory.2000, 46(5):1842-1854[2]Margarit G, Mallorqui J J, and Martinez C L. GRECOSAR, a SAR simulator for complex targets: application to urban environments[C]. International Geoscience and Remote Sensing Symposium (IGARSS), Barcelona, Spain, 2007: 4160-4163.[3]Rius J M, Ferrando M, and Jofre L. GRECO: graphical electromagnetic computing RCS prediction in real time[J]. IEEE Antennas and Propagarion Magazine, 1993, 35(2): 7-17.[4]陈杰, 李少斌等. 一种高分辨率合成孔径雷达的目标散射特性建模方法[P]. 中国专利, No. 200810112009.6, 2008年5月.[5]Andersh D, Moore J, and Kosanovich S, et al.. Xpatch 4 the next generation in high frequency electromagnetic modeling and simulation software[C]. IEEE National Radar Conference, Alexandria, USA, 2000: 844-849.[6]周文明, 宋建社, 郑永安, 徐军. 基于电磁特性SAR图像目标识别模版的建立[J].电光与控制.2008, 15(7):43-47Zhou Wen-ming, Song Jian-she, Zheng Yong-an, and Xu Jun. Establishing target recognition template in SAR images based on electromagnetic characteristics[J].Electronics Optics Control.2008, 15(7):43-47[7]Ling H and Chou R. Shooting and bouncing rays: calculating the RCS of an arbitrarily shaped cavity[J].IEEE Transactions on Antennas and Propagation.1989, 37(2):194-205[8]Soumekh M. Synthetic Aperture Radar Signal Processing with Matlab Algorithms[M]. New York: Wiley, 1999, Chapter 4.[9]盛新庆. 计算电磁学要论[M]. 北京: 科学出版社, 2005: 40-42.Sheng X. Introduction of Computational Electromagnetic [M]. Beijing: Science Press, 2005: 40-42.[10] MSTAR-dataset website: https://www.sdms.afrl.af.mil/ datasets/mstar, 2008.6[11]Zhang R.[J].Hong J, and Ming F. CASpatch: a SAR image simulation code to support ATR applications[C]. 2nd Asia-Pacific Conference on Synthetic Aperture Radar, Xian, China.2009,:-[12]Chen Y, Blasch E, and Chen H, et al.. Experimental feature-based SAR ATR performance evaluation under different operational conditions[C]. Proc. of SPIE, Orlando, USA, 2008, Vol.6968: 69680F.
  • 加载中
计量
  • 文章访问数:  3871
  • HTML全文浏览量:  143
  • PDF下载量:  1613
  • 被引次数: 0
出版历程
  • 收稿日期:  2009-12-31
  • 修回日期:  2010-03-19
  • 刊出日期:  2010-12-19

目录

    /

    返回文章
    返回