Abstract
In this paper we propose to treat point clouds as a first-class representation (similar to vector or raster representations), with the nD-PointCloud as the solution for this, offering deep integration of space, time and scale. For efficiency rea-sons spatial indexing and clustering of these large point clouds is extremely important and this is obtained based on a Space Filling Curved (SFC). In order to get beyond the current state of the art of storing/ managing point clouds in files, a DBMS solution is presented (with all benefits: integration with other data types, scalability, multi-user, transaction support, etc.). Finally, a DBMS SFC interface specification for point clouds is proposed.
Original language | English |
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Title of host publication | Geoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde |
Editors | Thomas Kolbe, Ralf Bill, Andreas Donaubauer |
Place of Publication | München |
Publisher | Runder Tisch GIS |
Pages | 61-71 |
Number of pages | 11 |
Publication status | Published - 2019 |
Event | Münchner GI-Runde 2019 - München, Germany Duration: 14 Mar 2019 → 15 Mar 2019 |
Conference
Conference | Münchner GI-Runde 2019 |
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Country/Territory | Germany |
City | München |
Period | 14/03/19 → 15/03/19 |