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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