中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging

文献类型:期刊论文

作者Dong, Xiao; Zhang, Yunhua
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2015
卷号12期号:6页码:1237-1241
关键词1-bit compressive sensing (CS) maximum a posteriori (MAP) sparsity synthetic aperture radar (SAR)
ISSN号1545-598X
通讯作者Dong, X (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
英文摘要In this letter, we propose a compressive sensing approach for synthetic aperture radar (SAR) imaging of sparse scenes with 1-bit-quantized data. Within the framework of maximum a posteriori estimation, we formulate the SAR image reconstruction problem as a sparse optimization problem and then solve it using a first-order primal-dual algorithm. The processing results of both simulated and real radar data show that our approach can eliminate the ghost target caused by 1-bit quantization in high signal-to-noise ratio situations and suppress the noisy background very well.
收录类别SCI ; EI
语种英语
源URL[http://ir.nssc.ac.cn/handle/122/4567]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
Dong, Xiao,Zhang, Yunhua. A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(6):1237-1241.
APA Dong, Xiao,&Zhang, Yunhua.(2015).A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(6),1237-1241.
MLA Dong, Xiao,et al."A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.6(2015):1237-1241.

入库方式: OAI收割

来源:国家空间科学中心

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