Synthetic aperture radar image despeckling via total generalised variation approach
Feng, Wensen1; Lei, Hong2; Qiao, Hong1,3
2015-03-01
发表期刊IET IMAGE PROCESSING
卷号9期号:3页码:236-248
文章类型Article
摘要Speckle reduction is an important task in synthetic aperture radar. One extensively used approach is based on total variation (TV) regularisation, which can realise significantly sharp edges, but on the other hand brings in the undesirable staircasing artefacts. In essence, the TV-based methods tend to create piecewise-constant images even in regions with smooth transitions. In this study, a new method is proposed for speckle reduction via total generalised variation (TGV) penalty. This is reasonable from the fact that the TGV-based model can reduce the staircasing artefacts of TV by being aware of higher-order smoothness. An efficient numerical scheme based on the Nesterov's algorithm is also developed for solving the TGV-based optimisation problem. Monte Carlo experiments show that the proposed scheme yields state-of-the-art results in terms of both performance and speed. Especially when the image has some higher-order smoothness, the authors' scheme outperforms the TV-based methods.
关键词Synthetic Aperture Radar Radar Imaging Image Denoising Speckle Variational Techniques Piecewise Constant Techniques Smoothing Methods Higher Order Statistics Optimisation Monte Carlo Methods Synthetic Aperture Radar Image Despeckling Total Generalised Variation Approach Speckle Reduction Total Variation Regularisation Piecewise Constant Image Smooth Transition Tgv-based Model Staircasing Artefact Reduction Higher Order Smoothness Numerical Scheme Nesterov Algorithm Tgv-based Optimisation Problem Monte Carlo Method
WOS标题词Science & Technology ; Technology
关键词[WOS]MULTIPLICATIVE NOISE REMOVAL ; SAR IMAGES ; SPECKLE ; FILTERS ; MODEL ; MINIMIZATION ; RECOVERY ; DOMAIN
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000350799900008
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8087
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
作者单位1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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Feng, Wensen,Lei, Hong,Qiao, Hong. Synthetic aperture radar image despeckling via total generalised variation approach[J]. IET IMAGE PROCESSING,2015,9(3):236-248.
APA Feng, Wensen,Lei, Hong,&Qiao, Hong.(2015).Synthetic aperture radar image despeckling via total generalised variation approach.IET IMAGE PROCESSING,9(3),236-248.
MLA Feng, Wensen,et al."Synthetic aperture radar image despeckling via total generalised variation approach".IET IMAGE PROCESSING 9.3(2015):236-248.
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