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Utilizing a discrete global grid system for handling point clouds with varying locations, times, and levels of detail / Neeraj Sirdeshmukh in Cartographica, vol 54 n° 1 (Spring 2019)  

Public [article]  inCartographica > vol 54 n° 1 (Spring 2019) . - pp 4 - 15 Titre : Utilizing a discrete global grid system for handling point clouds with varying locations, times, and levels of detail Type de document : Article/Communication Auteurs : Neeraj Sirdeshmukh, Auteur ; Edward Verbree, Auteur ; Peter J. M. Van Oosterom, Auteur ; Stella Psomadaki, Auteur ; Martin Kodde, Auteur Année de publication : 2019 Article en page(s) : pp 4 - 15 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] base de données localisées [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] indexation spatiale [Termes IGN] projection [Termes IGN] semis de points [Termes IGN] système de coordonnées [Termes IGN] système de grille globale discrète [Termes IGN] visualisation de données [Termes IGN] zoom Résumé : (Auteur) Discrete global grid systems (DGGSs) have emerged in recent years as a new specification for working with global heterogeneous data sets in a Digital Earth framework. Point clouds originating from different sources usually have varying initial characteristics. This research aims to analyze to what extent a DGGS can be used to handle point clouds having varying coordinate systems, acquired at different levels of detail (densities), and at different times in the creation of a global map of point clouds. DGGSs, which are currently limited to a 2D (surface) space, are extended into 3D and 4D spaces to fully harness the multidimensional nature of point clouds. A continuous spatial indexing strategy, based on a space-filling curve, is then developed on an ellipsoidal model of the Earth and used to efficiently cluster and retrieve DGGS-based point clouds stored in a database. Finally, the queried points are visualized in a Web browser. The hierarchical, multi-resolution nature of a DGGS is exploited to achieve a variable-scale smooth-zoom visualization. The challenges and opportunities of point cloud integration in a DGGS are presented. Numéro de notice : A2019-433 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.54.1.2018-0009 Date de publication en ligne : 28/03/2019 En ligne : https://doi.org/10.3138/cart.54.1.2018-0009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92759 [article]

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