NDLI: Gibbs Random Field Models for Model-Based Despeckling of SAR Images

Content Provider	IEEE Xplore Digital Library
Author	Molina, D.E. Gleich, D. Datcu, M.
Copyright Year	2004
Abstract	Synthetic aperture radar (SAR) images are affected by multiplicative noise called speckle. This noise makes automatic image classification and image interpretation difficult. Thus, many methods have been developed to remove speckle from SAR images while preserving the useful information of the scene such as texture and geometry. In this letter, a comparison between three different despeckling methods based on a Bayesian approach and Gibbs random fields is made. The used methods are Gauss-Markov random field (GMRF) and autobinomial modeling, which operate in the image domain, and the GMRF approach, which operates in the wavelet domain. Our methods are evaluated with synthetic and real SAR data (TerraSAR-X images). The experimental results show that, with these three methods, the speckle is well removed while structures are preserved; quantitative measures show that the autobinomial method provides the best smoothness and sharpness criteria in real SAR data, while the wavelet-based method generates the smallest bias.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	73
Ending Page	77
Page Count	5
File Size	877570
File Format	PDF
ISSN	1545598X
Volume Number	7
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speckle Radiometry Synthetic aperture radar Spatial resolution Gaussian processes Wavelet domain Additive noise Radar imaging Layout Bayesian methods wavelet transform Autobinomial model (ABM) Gauss–Markov random fields (GMRFs) speckle reduction synthetic aperture radar (SAR)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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