SAR Image Reconstruction From Undersampled Raw Data Using Maximum A Posteriori Estimation
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 | 2015 |
| 卷号 | 8期号:4页码:1651-1664 |
| 关键词 | Biconvex optimization compressed sensing (CS) maximum a posteriori (MAP) multiplicative speckle synthetic aperture radar (SAR) total variation (TV) |
| ISSN号 | 1939-1404 |
| 通讯作者 | Dong, X (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China. |
| 英文摘要 | A method for synthetic aperture radar (SAR) imaging using maximum a posteriori (MAP) estimation based on multiplicative speckle model is presented. The new method uses the total variation (TV) minimization to regularize the solution. The reconstruction of SAR image is formulated as a biconvex optimization problem, which is solved by the alternate convex search (ACS) method. Experiments on Radarsat-1 raw data show that the proposed method can recover most of the structural and texture details of the imaged scene using only a half of raw data. Compared with regular regularization methods for SAR imaging with incomplete data, the proposed method performs much better on less sparse scenes. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/4566]  |
| 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. SAR Image Reconstruction From Undersampled Raw Data Using Maximum A Posteriori Estimation[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(4):1651-1664. |
| APA | Dong, Xiao,&Zhang, Yunhua.(2015).SAR Image Reconstruction From Undersampled Raw Data Using Maximum A Posteriori Estimation.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(4),1651-1664. |
| MLA | Dong, Xiao,et al."SAR Image Reconstruction From Undersampled Raw Data Using Maximum A Posteriori Estimation".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.4(2015):1651-1664. |
入库方式： OAI收割
来源：国家空间科学中心
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