NDLI: Despeckling and Information Extraction From SLC SAR Images

Content Provider	IEEE Xplore Digital Library
Author	Gleich, D. Datcu, M.
Copyright Year	1980
Abstract	This paper presents an information extraction and image enhancement technique using single-look complex (SLC) synthetic aperture radar data. The novelty of this method is the proposed complex-domain despeckling stage. Tikhonov-like optimization is used for minimizing the cost function, which consists of a Gauss-Markov random field (GMRF) prior. The GMRF model is used for texture modeling. The texture parameters of the GMRF are estimated using the evidence maximization framework. The experimental results showed that despeckled SLC images have well-preserved textural features, structures, and point scatterers. The phase of the reconstructed image is well preserved and provides good-quality interferograms of high-resolution spotlight images.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	4633
Ending Page	4649
Page Count	17
File Size	3634223
File Format	PDF
ISSN	01962892
Volume Number	52
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar Cost function Speckle Estimation Information retrieval Bayes methods Data models synthetic aperture radar (SAR) Despeckling Gauss–Markov random fields (GMRFs) image enhancement information extraction Gauss¿Markov random fields (GMRFs)
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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