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Fuzzy rule-based classification of remotely sensed imagery / A. Bardossy in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 2 (February 2002) . - pp 362 - 374 Titre : Fuzzy rule-based classification of remotely sensed imagery Type de document : Article/Communication Auteurs : A. Bardossy, Auteur ; L. Samaniego, Auteur Année de publication : 2002 Article en page(s) : pp 362 - 374 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] classification dirigée [Termes IGN] classification floue [Termes IGN] image Landsat [Termes IGN] occupation du sol [Termes IGN] simulation Résumé : (Auteur) The purpose of this paper is to investigate the applicability of fuzzy rule-based modeling to classify a LANDSAT TM scene from 1984 of an area located in the south of Germany. Both a land cover map with four different categories and an image depicting the degree of ambiguity of the classification for each pixel is the expected output. The fuzzy classification algorithm will use a rule system derived from a training set using simulated annealing as an optimization algorithm. The results are then validated and compared with a common classification method in order to judge the effectiveness of the proposed technique. It will also be shown that the proposed method with only nine rules for four different land cover classes performs slightly better than the maximum likelihood classifier (MLC). For error assessment, the traditional error matrix and fuzzy operators have been used. Numéro de notice : A2002-096 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.992798 En ligne : https://doi.org/10.1109/36.992798 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22011 [article]

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