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Multitemporel fuzzy classification model based on class transition possibilities / G.L.A. Mota in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 62 n° 3 (August 2007) . - pp 186 - 200 Titre : Multitemporel fuzzy classification model based on class transition possibilities Type de document : Article/Communication Auteurs : G.L.A. Mota, Auteur ; R. Feitosa, Auteur ; H.L.C. Coutinho, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 186 - 200 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] algorithme génétique [Termes IGN] Brésil [Termes IGN] carte d'occupation du sol [Termes IGN] classification floue [Termes IGN] image Landsat [Termes IGN] image multitemporelle [Termes IGN] modélisation spatiale Résumé : (Auteur) This paper proposes a new method to model temporal knowledge and to combine it with spectral and spatial knowledge within an integrated fuzzy automatic image classification framework for land-use land-cover map update applications. The classification model explores not only the object features, but also information about its class at a previous date. The method expresses temporal class dependencies by means of a transition diagram, assigning a possibility value to each class transition. A Genetic Algorithm (GA) carries out the class transition possibilities estimation. Temporal and spectral/spatial classification results are combined by means of fuzzy aggregation. The improvement achieved by the use of multitemporal knowledge rather than a pure monotemporal approach was assessed in a real application using LANDSAT images from Midwest Brazil. The experiments showed that the use of temporal knowledge markedly improved the classification performance, in comparison to a conventional single-time classification. A further observation was that multitemporal knowledge may subsume the knowledge related to steady spatial attributes whose values do not significantly change over time. Copyright ISPRS Numéro de notice : A2007-368 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.04.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28731 [article]

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