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Automatic change detection by evidential fusion of change indices / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 91 n° 3 (30/06/2004)  

Public [article]  inRemote sensing of environment > vol 91 n° 3 (30/06/2004) . - pp 390 - 404 Titre : Automatic change detection by evidential fusion of change indices Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; R. Seltzer, Auteur Année de publication : 2004 Article en page(s) : pp 390 - 404 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] analyse texturale [Termes IGN] détection de changement [Termes IGN] dommage matériel [Termes IGN] fusion de données [Termes IGN] image optique [Termes IGN] incendie de forêt [Termes IGN] théorie de Dempster-Shafer [Termes IGN] valeur radiométrique Résumé : (Auteur) The detection of changes affecting continental surfaces has important applications in hydrological, meteorological, and climatic modeling. We propose a way to improve mono-index change detection by a fusion of multi-index change detection results. This fusion is performed in the framework of the Dempster-Shafer evidence theory, which is particularly suited to the representation of imprecision and ignorance at the "no change"/" change" class border. Depending on the change detection index considered, we also need to determine the class number and features. This is done using the a contrario theory approach rather than classical statistical tests. The proposed algorithm is applied to forest fire damage evaluation based on three popular change indices: normalized difference values, texture evolution, and mutual information (MI). We find that change index fusion is effective at reducing both false alarm and misdetection levels, due to the complementary nature of these indices. Numéro de notice : A2004-281 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.04.001 En ligne : https://doi.org/10.1016/j.rse.2004.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26808 [article]