Détail de l'auteur
Auteur D.J.J. Walvoort |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
A double continuous approach to visualization and analysis of categorial maps / T. Hengl in International journal of geographical information science IJGIS, vol 18 n° 2 (march 2004)
[article]
Titre : A double continuous approach to visualization and analysis of categorial maps Type de document : Article/Communication Auteurs : T. Hengl, Auteur ; D.J.J. Walvoort, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 183 - 202 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse factorielle
[Termes IGN] carte thématique
[Termes IGN] classification barycentrique
[Termes IGN] classification floue
[Termes IGN] cohérence des couleurs
[Termes IGN] pixel
[Termes IGN] système d'information géographique
[Termes IGN] taxinomie
[Termes IGN] traitement d'image
[Termes IGN] transformation intensité-teinte-saturation
[Termes IGN] visualisation cartographiqueRésumé : (Auteur) A method to visualize multiple membership maps, called 'Colour mixture' (CM) is described and compared with alternative techniques: defuzzification and Pixel mixture. Six landform parameters were used to derive the landform classes using supervised fuzzy k-means classification. The continuous categorical map is derived by GIS calculations with colours, where colour values are considered to represent the taxonomic space spanned by the attribute variables. Coordinates of the nine class centres (landform facets) were first transformed from multivariate to two-dimensional attribute space using factor analysis, and then projected on the Hue Saturation Intensity (HSI) colourwheel. The taxonomic value was coded with the Hue and confusion with Saturation. To improve visual impression, saturation was replaced with whiteness. Classes that were closer in attribute space were merged into similar generic colours. The CM technique limits the derived mixed-colour map to seven generic hues independently of the total number of classes, which provides a basis for automated generalization. The confusion index derived from the mixed-colour map was used to derive primary boundaries and to locate areas of higher taxonomic confusion. Numéro de notice : A2004-042 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810310001620924 En ligne : https://doi.org/10.1080/13658810310001620924 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26570
in International journal of geographical information science IJGIS > vol 18 n° 2 (march 2004) . - pp 183 - 202[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-04021 RAB Revue Centre de documentation En réserve L003 Disponible