中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Novel Compressive Sensing Algorithm for SAR Imaging

文献类型:期刊论文

作者Dong, Xiao; Zhang, Yunhua
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2014
卷号7期号:2页码:708-720
ISSN号1939-1404
关键词Chirp-scaling algorithm (CSA) compressive sensing (CS) orthonormal basis synthetic aperture radar (SAR) two-dimensional double CS Algorithm (2-D-DCSA)
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A novel compressive sensing (CS) algorithm for synthetic aperture radar (SAR) imaging is proposed which is called as the two-dimensional double CS algorithm (2-D-DCSA). We first derive the imaging operator for SAR, which is named as the chirp-scaling operator (CSO), from the chirp-scaling algorithm (CSA), then we show its inverse is a linear map, which transforms the SAR image to the received baseband radar signal. We show that the SAR image can be reconstructed simultaneously in the range and azimuth directions from a small number of the raw data. The proposed algorithm can handle large-scale data because both the CSO and its inverse allow fast matrix-vector multiplications. Both the simulated and real data are processed to test the algorithm and the results show that the 2-D-DCSA can be applied to reconstructing the SAR images effectively with much less data than regularly required.
学科主题微波遥感
收录类别SCI ; EI
语种英语
源URL[http://ir.nssc.ac.cn/handle/122/2783]  
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 Novel Compressive Sensing Algorithm for SAR Imaging[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2014,7(2):708-720.
APA Dong, Xiao,&Zhang, Yunhua.(2014).A Novel Compressive Sensing Algorithm for SAR Imaging.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,7(2),708-720.
MLA Dong, Xiao,et al."A Novel Compressive Sensing Algorithm for SAR Imaging".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 7.2(2014):708-720.

入库方式: OAI收割

来源:国家空间科学中心

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