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Supervised constrained optimization of Bayesian nonlocal means filter with sigma preselection for despeckling SAR images / Luis Gomez in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 8 (August 2013) . - pp 4563 - 4575 Titre : Supervised constrained optimization of Bayesian nonlocal means filter with sigma preselection for despeckling SAR images Type de document : Article/Communication Auteurs : Luis Gomez, Auteur ; Cristian Munteanu, Auteur ; Maria Buemi, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 4563 - 4575 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] filtre de Bayer [Termes IGN] filtre de déchatoiement [Termes IGN] image radar moirée [Termes IGN] optimisation (mathématiques) [Termes IGN] variance Résumé : (Auteur) Speckle reduction is an important problem in synthetic aperture radar (SAR) image analysis. Recent years have seen how Bayesian filters emerge as the natural extension of the nonlocal means filters, providing a general framework to deal with multiplicative (speckle) noise. In this paper, we present an easy-to-use software tool applying an evolutionary algorithm to optimize a Bayesian nonlocal means filter with sigma preselection for denoising SAR images. The desired result is a filtered image having a significative reduction in its variance but preserving the original mean value of the noisy image. A mixed-integer constrained optimization problem is stated and solved with the human intervention, where the user assists the evolutionary algorithm to reduce the noisy image variance under the restriction of keeping the mean value of the noisy SAR image within a predetermined interval of acceptance. We apply the methodology to a set of synthetic and real SAR speckle corrupted images. The results through the evaluation of objective global and local quality criteria show the excellent potential of the proposal. Numéro de notice : A2013-421 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2269866 En ligne : https://doi.org/10.1109/TGRS.2013.2269866 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32559 [article]

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