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
    CountryGermany
    CityMünchen
    Period14/03/1915/03/19

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  • Cite this

    Oosterom, P. V., Meijers, M., Verbree, E., Liu, H., & Tijssen, T. (2019). Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds. In T. Kolbe, R. Bill, & A. Donaubauer (Eds.), Geoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde (pp. 61-71). Runder Tisch GIS.