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Despeckle and geographical feature extraction in SAR images by wavelet transform / Karunesh K. Gupta in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 6 (November-December 2007)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 62 n° 6 (November-December 2007) . - pp 473 - 484 Titre : Despeckle and geographical feature extraction in SAR images by wavelet transform Type de document : Article/Communication Auteurs : Karunesh K. Gupta, Auteur ; Rajiv Gupta, Auteur Année de publication : 2007 Article en page(s) : pp 473 - 484 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse multiéchelle [Termes IGN] détection automatique [Termes IGN] extraction de traits caractéristiques [Termes IGN] filtre de déchatoiement [Termes IGN] image radar moirée [Termes IGN] transformation en ondelettes Résumé : (Auteur) This paper presents a method to despeckle Synthetic Aperture Radar (SAR) image, and then extract geographical features in it. In this research work, speckle is reduced by multiscale analysis in wavelet domain. In terms of geographical feature preservation the result shows that the method is better compared to spatial domain filters, such as Lee, Kuan, Frost, Ehfrost, Median, Gamma filters. The geographical features such as roads, airport runways, rivers and other ribbon-like shape structures are detected by the new wavelet-based method as proposed by Yuan Yan Tang. Experimental results show that the proposed method extracts geographical features of different width as well as different gray levels. Copyright ISPRS Numéro de notice : A2007-531 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28894 [article]

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