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Designing fuzzy rule based classifier using self-organizing feature map for analysis of multispectral satellite images / Nikhil R. Pal in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 10 (May 2005) . - pp 2219 - 2240 Titre : Designing fuzzy rule based classifier using self-organizing feature map for analysis of multispectral satellite images Type de document : Article/Communication Auteurs : Nikhil R. Pal, Auteur ; Arijit Laha, Auteur ; Jyotirmay Das, Auteur Année de publication : 2005 Article en page(s) : pp 2219 - 2240 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte de Kohonen [Termes IGN] classificateur [Termes IGN] classification floue [Termes IGN] image multibande [Termes IGN] raisonnement flou Résumé : (Auteur) We propose a novel scheme for designing fuzzy rule based classifiers. A selforganizing feature map (SOFM) based method is used for generating a set of prototypes, which is used to generate a set of fuzzy rules. Each rule represents a region in the feature space that we call the context of the rule. The rules are tuned with respect to their context. We justified that the reasoning scheme may be different in different contexts leading to context sensitive inferencing. To realize context sensitive inferencing we used a softmin operator with a tuneable parameter. The proposed scheme is tested on several multispectral satellite image datasets and the performance is found to be much better than the results reported in the literature. Numéro de notice : A2005-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500033419 En ligne : https://doi.org/10.1080/01431160500033419 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27397 [article]

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