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Auteur C. Ricotta |
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On possible measures for evaluating the degree of uncertainty of fuzzy thematic maps / C. Ricotta in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)
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Titre : On possible measures for evaluating the degree of uncertainty of fuzzy thematic maps Type de document : Article/Communication Auteurs : C. Ricotta, Auteur Année de publication : 2005 Article en page(s) : pp 5573 - 5583 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carte thématique
[Termes IGN] classification floue
[Termes IGN] données maillées
[Termes IGN] entropie
[Termes IGN] incertitude des données
[Termes IGN] logique floue
[Termes IGN] modèle stochastique
[Termes IGN] pixelRésumé : (Auteur) In the remote sensing literature, a number of indices have been proposed for quantifying the uncertainty in categorical labelling of fuzzy thematic map locations. Most of these measures derive their conceptual basis from Shannon's entropy. Nonetheless, the Shannon entropy implies a probabilistic interpretation of class membership values, such that their application is appropriate only for fuzzy thematic maps obtained by softening the output of a maximum likelihood classification. There is therefore a need to derive measures of classification uncertainty for raster thematic maps obtained from nonprobabilistic soft classifiers. The purpose of this paper is to introduce a family of measures that are based on the notion of nonspecificity for quantifying the pixellevel categorical uncertainty associated to nonprobabilistic fuzzy classifications of remotely sensed images. Numéro de notice : A2005-524 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500285175 En ligne : https://doi.org/10.1080/01431160500285175 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27660
in International Journal of Remote Sensing IJRS > vol 26 n° 24 (December 2005) . - pp 5573 - 5583[article]Exemplaires(1)
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