A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution

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	A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution
	Nie, Xiangli1 ; Qiao, Hong2 ; Zhang, Bo 3; Bo Zhang
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2015-04-01
卷号	24 期号:4 页码:1209-1222
文章类型	Article
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.
关键词	Polarimetric Synthetic Aperture Radar (Polsar) Speckle Reduction Multi-channel Total Variation Complex Wishart Distribution Variational Model
WOS标题词	Science & Technology ; Technology
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研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000349774900002
引用统计	被引频次：35[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8061
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Bo Zhang
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,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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