Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds

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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 languageEnglish
Title of host publicationGeoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde
EditorsThomas Kolbe, Ralf Bill, Andreas Donaubauer
Place of PublicationMünchen
PublisherRunder Tisch GIS
Pages61-71
Number of pages11
Publication statusPublished - 2019
EventMünchner GI-Runde 2019 - München, Germany
Duration: 14 Mar 201915 Mar 2019

Conference

ConferenceMünchner GI-Runde 2019
Country/TerritoryGermany
CityMünchen
Period14/03/1915/03/19

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