改进轮廓波变换的ISAR信号超分辨成像方法

doi:10.13190/jbupt.201202.77.luy

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (2): 77-81.doi: 10.13190/jbupt.201202.77.luy

改进轮廓波变换的ISAR信号超分辨成像方法

卢艳^1，2,潘英俊¹,陶荣辉³,蔡英武³

1. 重庆大学光电工程学院, 重庆 400044; 2. 重庆广播电视大学机电工程学院, 重庆 400052; 3. 中国工程物理研究院电子工程研究所, 四川绵阳 621900

收稿日期:2011-06-09 修回日期:2011-08-29 出版日期:2012-04-28 发布日期:2012-01-05
通讯作者: 卢艳 E-mail:loisyan@sohu.com
作者简介:卢艳（1977-），女，讲师，博士生，E-mail：loisyan@sohu.com 潘英俊（1948-），男，教授，博士生导师
基金资助:
教育部博士点专项基金项目（2000061108）；中国工程物理研究院重点基金项目（2010A0403d7）

ISAR Super-resolution imaging method based on improved Contourlet Transform

LU Yan^1,2,PAN Ying-jun¹,TAO Rong-hui³,CAI Ying-wu³

1. College of Opto-Electronic Engineering, Chongqing University, Chongqing 400044, China;2. College of Mechanical and Electrical Engineering, Chongqing Radio and Television University, Chongqing 400052, China;3. Institute of Electronic Engineering, China Academy of Engineering Physics, Sichuan Mianyang 621900, China

Received:2011-06-09 Revised:2011-08-29 Online:2012-04-28 Published:2012-01-05
Contact: Yan LU E-mail:loisyan@sohu.com

摘要/Abstract

摘要：

为了克服由于实测数据有限、逆合成孔径雷达(ISAR)成像分辨率低的问题，提出了一种基于改进轮廓波变换（CT）的ISAR回波信号超分辨成像方法.该方法首先采用非下采样的轮廓波分解来实现信号不变尺度下不同方向的高频成分提取；然后将不同方向的高频信息与原始回波信息一同构建为CT变换的分解层；最后借助轮廓波重构变换技术实现ISAR回波信号的尺度拓展，进而实现超分辨成像.与用插值方法进行信号尺度拓展后成像相比，该方法更能反映空中目标雅克42型飞机雷达图像细节信息，提高成像质量，从而验证了该方法的有效性.

关键词: 轮廓波变换, 逆合成孔径雷达, 雷达成像

Abstract:

Considering the poor imaging caused by limited inverse synthetic aperture radar (ISAR) echo data of real target, a new super-resolution algorithm based on improved contourlet transform （CT） is proposed to achieve ISAR super-resolution imaging. It is realized by nonsubsampled contourlet decomposition to extract high-frequency information from ISAR echo data in different directions based on scale invariant feature. Then decomposition levels of CT are constructed with the high-frequency information in different directions and raw echoed data. Contourlet reconstruction is used to expand ISAR echo signal in scale. It shows that ISAR image using this method will be with great advantages of reflecting YAK42 airplane information in detail and improving imaging quality over that using interpolation method, which validates the validity of this method.

Key words: super-resolution, contourlet transform, inverse synthetic aperture radar, radar imaging

中图分类号:

TP391

卢艳潘英俊陶荣辉蔡英武. 改进轮廓波变换的ISAR信号超分辨成像方法[J]. 北京邮电大学学报, 2012, 35(2): 77-81.

参考文献

[1] 陈阿磊,王党卫,马晓岩,等.一种基于估计理论的ISAR超分辨成像方法[J]. 系统工程与电子技术, 2010, 32(4): 740-744. Chen Alei, Wang Dangwei, Ma Xiaoyan, et al. Method of super resolution imaging for ISAR based on estimation theory[J]. Systems Engineering and Electronics, 2010, 32(4): 740-744.
[2] 李军,邢孟道,张磊,等.一种高分辨的稀疏孔径ISAR成像方法[J]. 西安电子科技大学学报, 2010, 37(3): 441-446. Li Jun, Xing Mengdao, Zhang Lei, et al. High resolution imaging method for the sparse aperture of ISAR[J]. Journal of Xidian University, 2010, 37(3): 441-446.
[3] 张龙,张磊,邢孟道. 一种基于改进压缩感知的低信噪比ISAR高分辨成像方法[J].电子与信息学报, 2010, 32(9): 2263-2267. Zhang Long,Zhang Lei,Xing Mengdao. A new method of high resolution ISAR imaging under low SNR based on improved compressive sensing[J]. Journal of Electronics and Information Technology, 2010, 32(9): 2263-2267.
[4] Jacobs S P, OSullivan J A. Automatic target recognition using sequences of high resolution radar range-profiles[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(2): 364-381.
[5] Eom K B. Time-varying autoregressive modeling of HRR radar signatures[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(3): 974-988.
[6] 冯德军,王雪松,陈志杰,等.酉ESPRIT 超分辨ISAR 成像方法[J]. 电子学报, 2005, 33(12): 2097-2100. Feng Dejun, Wang Xuesong, Chen Zhijie, et al. Super-resolution ISAR imaging using unitary ESPRIT[J]. Acta Electronica Sinica, 2005, 33(12): 2097-2100.
[7] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.
[8] Cunha A L, Zhou Jianping, Do M N. The nonsubsampled contourlet transform: theory, design, and applications[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.

改进轮廓波变换的ISAR信号超分辨成像方法

ISAR Super-resolution imaging method based on improved Contourlet Transform

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