A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model
	Nie, Xiangli1 ; Zhang, Bo 3,4; Chen, Yunjin 5; Qiao, Hong1,2
刊名	IEEE SIGNAL PROCESSING LETTERS
	2016-10-01
卷号	23 期号:10 页码:1409-1413
关键词	Nonconvex optimization polarimetric synthetic aperture radar (PolSAR) variational method
通讯作者	Nie, XL
中文摘要
英文摘要	The Wishart fidelity and total variation (TV) based variational model (WisTV) with the positive definite (PD) constraint has shown to be effective for the whole PolSAR covariance data speckle reduction. However, the existing algorithms for solving theWisTV model only give approximation solutions by projecting the results onto the set of PD matrices, and their parameters depend strongly on the data. The purpose of this letter is to propose a new optimization algorithm to address the issues. To keep the uniformity of the parameters for different PolSAR data, a sigmoid function-based normalization method is designed, which ensures the applicability of the WisTV model for the normalized data. By using the orthogonal decomposition of the PDvariables, theWisTV model is converted into an unconstrained optimization problem which is further transformed into a multivariable problem based on the equivalent representations of the trace and logdet functions. The alternative minimization technique is then utilized to solve the final optimization problem. The subproblems for each individual variable are convex and their solutions have explicit expressions. Moreover, the computational complexity of the algorithm is discussed. Experimental results on both synthetic and real PolSAR data demonstrate the validity of the proposed algorithm.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Electrical & Electronic
研究领域[WOS]	Engineering
关键词[WOS]	SPECKLE REDUCTION ; VARIATIONAL MODEL ; SAR
收录类别	SCI
语种	英语
WOS记录号	WOS:000384011800001
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/12571]
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, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China 3.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China 5.Graz Univ Technol, Inst Comp Graph & Vis, A-8010 Graz, Austria
推荐引用方式 GB/T 7714	Nie, Xiangli,Zhang, Bo,Chen, Yunjin,et al. A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model[J]. IEEE SIGNAL PROCESSING LETTERS,2016,23(10):1409-1413.
APA	Nie, Xiangli,Zhang, Bo,Chen, Yunjin,&Qiao, Hong.(2016).A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model.IEEE SIGNAL PROCESSING LETTERS,23(10),1409-1413.
MLA	Nie, Xiangli,et al."A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model".IEEE SIGNAL PROCESSING LETTERS 23.10(2016):1409-1413.