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A feature-based approach to conflation of geospatial sources / Ashok Samal in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 459 - 489 Titre : A feature-based approach to conflation of geospatial sources Type de document : Article/Communication Auteurs : Ashok Samal, Auteur ; Sharad Seth, Auteur ; K. Cueto, Auteur Année de publication : 2004 Article en page(s) : pp 459 - 489 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] appariement de données localisées [Termes IGN] données multisources [Termes IGN] fusion de données multisource [Termes IGN] graphe [Termes IGN] implémentation (informatique) [Termes IGN] système d'information géographique Résumé : (Auteur) A Geographic Information System (GIS) populated with disparate data sources has multiple and différent representations of the same real-world object. Often, the type of information in these sources is différent, and combining them to generate one composite representation has many benefits. The first step in this conflation process is to identify the features in different sources that represent the same real-world entity. The matching process is not simple, since the identified features from different sources do not always match in their location, extent, and description. We present a new approach to matching GIS features from disparate sources. A graph theoretic approach is used to model the geographic context and to determine the matching features from multiple sources. Experiments on implementation of this approach demonstrate its viability. Numéro de notice : A2004-283 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001658076 En ligne : https://doi.org/10.1080/13658810410001658076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26810 [article]

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