A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution
文献类型：期刊论文
| 作者 | Nie, Xiangli1 ; Qiao, Hong2; Zhang, Bo3
|
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2015-04-01 |
| 卷号 | 24期号:4页码:1209-1222 |
| 关键词 | Polarimetric synthetic aperture radar (PolSAR) speckle reduction multi-channel total variation complex Wishart distribution variational model |
| 通讯作者 | Bo Zhang |
| 英文摘要 | In this paper, we propose a variational model for polarimetric synthetic aperture radar (PolSAR) data speckle reduction, which is based on the complex Wishart distribution of the covariance or coherency matrix and multichannel total variation (TV) regularization defined for complex-valued matrices. By assuming the TV regularization to be a prior and taking the statistical distribution of the covariance matrix in each resolution element into account, the variational model for PolSAR covariance data speckle suppression, named WisTV-C, is derived from the maximum a posteriori estimate. A similar variational model for PolSAR coherency data speckle reduction, named WisTV-T, is also obtained. As far as we know, this is the first variational model for the whole PolSAR covariance or coherency matrix data despeckling. Since the model is nonconvex, a convex relaxation iterative algorithm is designed to solve the variational problem, based on the variable splitting and alternating minimization techniques. Experimental results on both simulated and real PolSAR data demonstrate that the proposed approach notably removes speckles in the extended uniform areas and, meanwhile, better preserves the spatial resolution, the details such as edges and point scatterers, and the polarimetric scattering characteristics, compared with other methods. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | VECTORIAL TOTAL VARIATION ; POLARIMETRIC SAR IMAGERY ; ALGORITHM ; NOISE ; CLASSIFICATION ; MINIMIZATION ; RESTORATION ; INTENSITY |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000349774900002 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8061]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Lab Sci & Engn Comp, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Nie, Xiangli,Qiao, Hong,Zhang, Bo. A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(4):1209-1222. |
| APA | Nie, Xiangli,Qiao, Hong,&Zhang, Bo.(2015).A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(4),1209-1222. |
| MLA | Nie, Xiangli,et al."A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.4(2015):1209-1222. |
入库方式： OAI收割
来源：自动化研究所
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