NDLI: Unsupervised SAR Image Segmentation Based on Triplet Markov Fields With Graph Cuts

Content Provider	IEEE Xplore Digital Library
Author	Lu Gan Yan Wu Fan Wang Peng Zhang Qiang Zhang
Copyright Year	2004
Abstract	The triplet Markov fields (TMF) model is suitable for dealing with nonstationary synthetic aperture radar (SAR) images. Existing optimization approaches for the TMF model cannot balance segmentation accuracy and computational efficiency. Focusing on efficient optimization of the TMF model, we propose an unsupervised SAR image segmentation algorithm based on TMF with graph cuts (GCs) in this letter. Considering the existence of two label fields in the TMF model, an iterative optimization strategy under the criterion of maximum a posteriori is proposed, which iteratively estimates one label field with the other fixed. GCs are is used to find the optimal estimation of each label field. GCs optimization and parameter estimation using iterative conditional estimation perform iteratively, leading to an unsupervised segmentation algorithm. Experiments on simulated and real SAR images demonstrate that the proposed algorithm can obtain accurate segmentation results with reasonable computational cost.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	853
Ending Page	857
Page Count	5
File Size	600531
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	4
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	Image segmentation Synthetic aperture radar Optimization Computational modeling Markov processes Estimation Gallium nitride triplet Markov fields (TMF) Graph cuts (GCs) nonstationary property synthetic aperture radar (SAR) image segmentation
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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