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Comparison of different speckle-reduction techniques in SAR images using wavelet transform / A. Vidal-Pantaleoni in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4915 - 4932 Titre : Comparison of different speckle-reduction techniques in SAR images using wavelet transform Type de document : Article/Communication Auteurs : A. Vidal-Pantaleoni, Auteur ; D. Marti, Auteur Année de publication : 2004 Article en page(s) : pp 4915 - 4932 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] filtrage du bruit [Termes IGN] filtre de déchatoiement [Termes IGN] filtre de Wiener [Termes IGN] image ERS-SAR [Termes IGN] seuillage d'image [Termes IGN] transformation en ondelettes Résumé : (Auteur) Speckle noise is always present in Synthetic Aperture Radar (SAR) images. Many methods that reduce speckle noise while preserving texture and detail have been presented previously. In this paper, a comparison of different methods using wavelet decomposition is performed and new improvements for traditional methods are introduced. These techniques are: Wiener filtering, classical soft threshold, a new adaptive soft threshold and Bayesian reconstruction. First, speckle noise in a SAR image was analysed statistically. Then, a simulated image following these characteristics was created in order to evaluate noise reduction. The mean squared error was classified depending on the spatial characteristics of a local region. This tool gave valuable information for algorithm assessment. In the comparison, the new adaptive soft threshold method provided excellent results concerning noise reduction and detail preservation compared with classical soft threshold and Wiener methods. In addition, it gave as much noise reduction as the most sophisticated Bayesian method, but much more efficiently. Hence, the adaptive version of soft thresholding outperformed the other techniques. This study also presents a rigorous framework for speckle noise simulation and noise reduction evaluation. Numéro de notice : A2004-487 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160410001688277 En ligne : https://doi.org/10.1080/01431160410001688277 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27005 [article]

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