Adaptive restoration of speckled SAR images using a compound random Markov field

Dias, Jose M.B., Silva, Tiago A.M. and Leitao, Jose M.N. (1998) Adaptive restoration of speckled SAR images using a compound random Markov field. In: Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3), 1998-10-04 - 1998-10-07.

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Abstract

This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and laser imaging). The approach is Bayesian: the observed image intensity is assumed to be a random variable with gamma density; the image to be restored (mean amplitude) is modeled by a compound Gauss-Markov random field which enforces smoothness on homogeneous regions while preserving discontinuities between neighboring regions. A Neyman-Pearson detection criterion is used to infer the discontinuities, thus allowing to select a given false alarm probability maximizing the detection probability. The whole restoration scheme is then cast into a maximum a posteriori probability (MAP) problem. An expectation maximization type iterative scheme embedded in a continuation algorithm is used to compute the MAP solution. An application example performed on radar data is presented.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	hardware and architecture,computer vision and pattern recognition,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1700/1708
Faculty \ School:	Faculty of Science > School of Environmental Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Collaborative Centre for Sustainable Use of the Seas
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	16 Feb 2026 14:31
Last Modified:	16 Feb 2026 14:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/101953
DOI:

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