Journal
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Volume 5, Issue 3, Pages 952-961Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2011.2179524
Keywords
Feature extraction; image denoising; image enhancement; synthetic aperture radar
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This paper presents a comparison between Markovian models for Synthetic Aperture Radar (SAR) image despeckling within the complex domain. The novelty of this paper is enhancement of single look complex SAR images and information extraction. The Gauss-Markov Random Field model, Auto-binomial and Huber-Markov Models are used with the non-quadratic regularization. The experimental results using synthetic generated images and real SAR images showed that the best results were obtained with the Auto-binomial model followed by the Gauss-Markov Random field, and finally the Huber-Markov model, for synthetic generated data and real single look complex SAR images.
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