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Textural and contextual land-cover classification using single and multiple classifier systems / O. Debeir in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 597 - 605 Titre : Textural and contextual land-cover classification using single and multiple classifier systems Type de document : Article/Communication Auteurs : O. Debeir, Auteur ; I. Van Der Steen, Auteur ; P. Latinne, Auteur ; P. Van Ham, Auteur ; E. Wolff, Auteur Année de publication : 2002 Article en page(s) : pp 597 - 605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte d'occupation du sol [Termes IGN] classification non dirigée [Termes IGN] image Landsat-TM [Termes IGN] occupation du sol [Termes IGN] texture d'image Résumé : (Auteur) The objective of this study was to improve the quality of the digital land-cover and land-use classification when using high-resolution (10 to 30 m) remote sensing data. Three classification techniques were compared, which can be divided into two groups : single classifiers (a five-nearest neighbour and the C4.5 decision tree classifier) and multiple classifier systems (BAGFS). Textural and contextual features (roads, hydrology, relief, etc.) were introduced during the classification process. Eleven land-cover categories, in a Belgian varied landscape, were analysed and classified using Landsat Thematic Mapper data. The accuracy assessment increased with the introduction of textural features and contextual data, between 0.60 and 0.82 for the Kappa coefficient. The best kappa value was achieved using numerous textural and contextual features with the multiple classifier system (BAGFs). Numéro de notice : A2002-133 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.researchgate.net/publication/251430961_Textural_and_Contextual_Land- [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22048 [article]