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Urban classification for generalization orchestration / Annabelle Boffet (2000)  

Public Titre : Urban classification for generalization orchestration Type de document : Article/Communication Auteurs : Annabelle Boffet , Auteur ; Caroline Coquerel, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2000 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 33-B4 Conférence : ISPRS 2000, 19th ISPRS Congress Technical Commission 4, Mapping and Geographic Information Systems 16/07/2000 23/07/2000 Amsterdam Pays-Bas OA Proceedings archives Importance : pp 132 - 139 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation [Termes IGN] analyse multiéchelle [Termes IGN] Lamps2 [Termes IGN] milieu urbain [Termes IGN] système d'information géographique [Vedettes matières IGN] Généralisation Résumé : (auteur) Nowadays, many generalization algorithms exist but their management is still problematic. If algorithm design needs to be carried on, especially for contextual generalization, the amelioration of preliminary landscape description is a critical prerequisite. Better descriptions are necessary to improve the understanding of spatial organizations and thus to decide on a better orchestration of the algorithms. To improve automated analysis, we suggest that a given geographical space should no longer be described by its individual objects, but be analysed by several larger entities created by pertinent structuration processes. This paper proposes a method of spatial database interpretation to automatically define decisional entities for the generalization process. It focuses on the creation of urban information from urban topographic data. The first section reviews the requirements of automated generalization, which emphasize the lack of useful information for urban generalization. Our method to automatically derive information on urban structure is then described. Implemented on LAMPS2, an object-oriented GIS, the analysis is based on a goal-directed classification. Lastly, the results for the classification of a 8800-inhabitant-strong town are presented. The paper concludes with on-going research improvements. Numéro de notice : C2000-023 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXIII/congress/part4/132_XXXIII-part4.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102881