Joint Low-Rank and Sparse Tensors Recovery for Video Synthetic Aperture Radar Imaging

被引:12
作者
An, Hongyang [1 ]
Wu, Junjie [1 ]
Teh, Kah Chan [2 ]
Sun, Zhichao [1 ]
Li, Zhongyu [1 ]
Yang, Jianyu [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2022年 / 60卷
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Synthetic aperture radar; Tensors; Imaging; Radar polarimetry; Azimuth; Radar imaging; Chirp; low rank; sparse; synthetic aperture radar (SAR); tensor recovery; video SAR; MATRIX RECOVERY; SIGNAL RECOVERY; SAR;
D O I
10.1109/TGRS.2021.3111279
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Video synthetic aperture radar (SAR) receives more and more attention in recent years because it can provide continuous images of the observed scene. However, the enormous data of video SAR to obtain the multiframe images bring big challenges to its transmission, storage, and processing, especially for small unmanned aerial vehicle (UAV) platform. In this article, we aim at proposing an efficient video formation method for video SAR systems with reduced data. First, the characteristics of video SAR observed scene are analyzed. It is found that the observed scene with multiple frames can be modeled as the sum of a low-rank tensor and a sparse tensor efficiently. After that, the video formation problem for video SAR is modeled as a joint low-rank and sparse tensors recovery problem. Finally, an efficient tensor alternating direction method of multiplier is proposed to obtain the final SAR video. Compared with the traditional frequency- or time-domain imaging methods, the amount of data samples can be greatly reduced. On the other hand, the proposed method outperforms the state-of-the-art SAR imaging methods with reduced samples, including the joint low-rank and sparse matrices recovery method and the low-rank tensor recovery method. Numerical simulations validate the effectiveness of the proposed method.
引用
收藏
页数:13
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