SAR IMAGING BASED ON COMPRESSED SENSING

被引：7
|
作者：
Huan, Yifeng [1 ]
Wang, Junfeng [1 ]
Tan, Zhen [1 ]
Liu, Xingzhao [1 ]
Yu, Wenxian [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
来源：
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年
关键词：
Compressive Sensing; Synthetic Aperture Radar; Radar Imaging; Sparse Reconstruction; Matching Pursuit;
D O I：
10.1109/IGARSS.2011.6049555
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose a CS-based SAR imaging algorithm after analyzing the model of echoes from point target. Our reconstruction algorithm is two-dimensional, unlike current one-dimensional CS-based SAR imaging algorithms. It can reconstruct targets with high resolution from relatively small number of echoes and effectively improves the efficiency of reconstruction. The processing results of simulated data demonstrate the effectiveness of our algorithm.
引用
收藏
页码：1674 / 1677
页数：4
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