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A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction
Nie, Xiangli1; Qiao, Hong1,2; Zhang, Bo3; Huang, Xiayuan3
AbstractIn this paper, we propose a nonlocal total variation (NLTV)-based variational model for polarimetric synthetic aperture radar (PolSAR) data speckle reduction. This model, named WisNLTV, is obtained based on the Wishart fidelity term and the NLTV regularization defined for the complex-valued fourth-order tensor data. Since the proposed model is non-convex, an equivalent bi-convex model is obtained using the property of conjugate functions. Then, an efficient iteration algorithm is developed to solve the equivalent bi-convex model, based on the alternating minimization and the forward-backward operator splitting technique. The proposed iteration algorithm is proved to be convergent under certain conditions theoretically and numerically. Experimental results on both synthetic and real PolSAR data demonstrate that the proposed method can effectively reduce speckle noise and, meanwhile, better preserve the details and the repetitive structures such as textures and edges, and the polarimetric scattering characteristics, compared with the other methods.
KeywordPolarimetric synthetic aperture radar (PolSAR) speckle reduction nonlocal total variation (NLTV) complex Wishart distribution conjugate function variational model
Funding ProjectNational Natural Science Foundation of China[61379093] ; National Natural Science Foundation of China[11131006] ; Strategic Priority Research Program, Chinese Academy of Sciences[XDB02080003] ; BMST[D16110400140000] ; BMST[D161100001416001] ; Early Career Development Award of SKLMCCS
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000375121600001
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Document Type期刊论文
Corresponding AuthorZhang, Bo
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
3.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Nie, Xiangli,Qiao, Hong,Zhang, Bo,et al. A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016,25(6):2620-2634.
APA Nie, Xiangli,Qiao, Hong,Zhang, Bo,&Huang, Xiayuan.(2016).A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction.IEEE TRANSACTIONS ON IMAGE PROCESSING,25(6),2620-2634.
MLA Nie, Xiangli,et al."A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction".IEEE TRANSACTIONS ON IMAGE PROCESSING 25.6(2016):2620-2634.
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