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Management of massive point cloud data / Peter J. M. Van Oosterom (2010)    

Public Titre : Management of massive point cloud data : wet and dry Type de document : Actes de congrès Auteurs : Peter J. M. Van Oosterom, Éditeur scientifique ; M. George Vosselman, Éditeur scientifique ; Thaiënne A.G.P. Van Dijk, Éditeur scientifique ; Milan Uitentuis, Éditeur scientifique Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2010 Collection : Netherlands Geodetic Commission Green series num. 49 Conférence : NCG 2009, seminar Management of massive point cloud data: wet and dry 26/11/2009 Utrecht Pays-Bas Importance : 93 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-90-6132-322-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] bathymétrie acoustique [Termes IGN] données lidar [Termes IGN] modèle numérique de terrain [Termes IGN] Pays-Bas [Termes IGN] semis de points [Termes IGN] sondeur multifaisceaux Résumé : (Auteur) This publication contains a selection of papers that result of the seminar ‘Management of massive point cloud data: wet and dry’ on Thursday 26 November 2009 at Oracle, De Meern, the Netherlands. This seminar was jointly organized by the subcommissions 'Marine Geodesy' and 'Core Spatial Data' of the Netherlands Geodetic Commission (part of the Royal Netherlands Academy of Arts and Sciences) and the SIM (Spatial Information Management) commission of the OGh (Oracle Gebruikersclub Holland). The theme of the seminar was about the challenges caused by the ever increasing amount of data that is generated by modern sensor systems, both in the wet and dry sectors. To reach a broader audience, both marine (multi-beam echo) and land (LiDAR) data was included. Note de contenu : - Management of massive point cloud data: wet and dry. Editorial / P.J.M. van Oosterom, M.G. Vosselman, Th.A.G.P. van Dijk, M. Uitentuis - Needle in a haystack / R.H. Righolt, J. Schaap, L.L. Dorst, E.M. Vos - The art of collecting and disseminating point clouds / M.P. Kodde - How the Up-to-date Height Model of the Netherlands (AHN) became a massive point data cloud / L.M.Th. Swart - Recent developments in multi-beam echo-sounder processing The multi-beam potential for sediment classification and water column sound speed estimation / D.G. Simons, A. Amiri-Simkooei, K. Siemes, M. Snellen - Storage and analysis of massive TINs in a DBMS / H. Ledoux - Marine high-density data management and visualization / M.A. Masry, P. Schwartzberg - Scalable visualization of massive point clouds / G. de Haan - Mapping the world with LiDAR / S. Coppens - Handling large amounts of multibeam data / S. Broen - Virtualising large digital terrain models / G.G. Spoelstra Numéro de notice : 10966 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Actes En ligne : https://www.ncgeo.nl/index.php/en/publicatiesgb/green-series/item/2371-gs-49-p-j [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=39880

Contient

• Scalable visualization of massive point clouds / Gerwin de Haan (2009) 

Documents numériques

en open access 10966_49ncggroenpointclouds.pdf Adobe Acrobat PDF

Scalable visualization of massive point clouds / Gerwin de Haan (2009) 

Public contenu dans Management of massive point cloud data / Peter J. M. Van Oosterom (2010)     Titre : Scalable visualization of massive point clouds Type de document : Article/Communication Auteurs : Gerwin de Haan, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2009 Conférence : NCG 2009, seminar Management of massive point cloud data: wet and dry 26/11/2009 Utrecht Pays-Bas Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 2D [Termes IGN] exploration de données [Termes IGN] réalité virtuelle [Termes IGN] semis de points Résumé : (auteur) Graphical renderings of "raw" point clouds can be visually attractive. When combined, the many individual points and their attributes convey spatial structures, especially when viewed in a fluent 3D fly-through and on a stereoscopic display. For such interactive visualization, a sufficiently responsive graphics update is essential. Where many software packages support simple rendering of smaller (subsets of) point clouds, the size of point clouds currently acquired easily surpasses their rendering capabilities, even on a modern graphics card. We addressed this issue in recent experiments on the visual exploration of LiDAR (Light Detection And Ranging) datasets in our Virtual Reality systems. Out-of-core terrain rendering techniques are applied, which originate from graphic rendering engines used in games and flight-simulators. In this document some of these techniques and results are highlighted, and challenges in balancing rendering performance versus visual quality are discussed. Numéro de notice : 14850 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75696

Documents numériques

en open access 14850 scalable visualization Adobe Acrobat PDF