A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution
Nie, Xiangli1; Qiao, Hong2; Zhang, Bo3; Bo Zhang
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2015-04-01
Volume24Issue:4Pages:1209-1222
SubtypeArticle
AbstractIn 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.
KeywordPolarimetric Synthetic Aperture Radar (Polsar) Speckle Reduction Multi-channel Total Variation Complex Wishart Distribution Variational Model
WOS HeadingsScience & Technology ; Technology
WOS KeywordVECTORIAL TOTAL VARIATION ; POLARIMETRIC SAR IMAGERY ; ALGORITHM ; NOISE ; CLASSIFICATION ; MINIMIZATION ; RESTORATION ; INTENSITY
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000349774900002
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8061
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorBo Zhang
Affiliation1.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
Recommended Citation
GB/T 7714
Nie, Xiangli,Qiao, Hong,Zhang, Bo,et al. 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,&Bo Zhang.(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.
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