A CityGML extension for handling very large tins

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Abstract

In addition to buildings, the terrain forms an important part of a 3D city model. Although in GIS terrains are usually represented with 2D grids, TINs are also increasingly being used in practice. One example is 3DTOP10NL, the 3D city model covering the whole of the Netherlands, which stores the relief with a constrained TIN containing more than 1 billion triangles. Due to the massive size of such datasets, the main problem that arises is: how to efficiently store and maintain them? While CityGML supports the storage of TINs, we argue in this paper that the current solution is not adequate. For instance, the 1 billion+ triangles of 3DTOP10NL require 686 GB of storage space with CityGML. Furthermore, the current solution does not store the topological relationships of the triangles, and also there are no clear mechanisms to handle several LODs. We propose in this paper a CityGML extension for the compact representation of terrains. We describe our abstract and implementation specifications (modelled in UML), and our prototype implementation to convert TINs to our CityGML structure. It increases the topological relationships that are explicitly represented, and allows us to compress up to a factor of ∼ 25 in our experiments with massive real-world terrains (more than 1 billion triangles).
Original languageEnglish
Title of host publicationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
EditorsE. Dimopoulou, P. van Oosterom
PublisherISPRS
Pages137-143
VolumeIV-2/W1
DOIs
Publication statusPublished - 2016
Event11th 3D Geoinfo Conference - Athens, Greece
Duration: 20 Oct 201621 Oct 2016
Conference number: 11

Conference

Conference11th 3D Geoinfo Conference
CountryGreece
CityAthens
Period20/10/1621/10/16

Keywords

  • CityGML
  • GML
  • Terrains
  • TINs

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  • Cite this

    Kavisha, K., Ledoux, H., & Stoter, J. (2016). A CityGML extension for handling very large tins. In E. Dimopoulou, & P. van Oosterom (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. IV-2/W1, pp. 137-143). ISPRS. https://doi.org/10.5194/isprs-annals-IV-2-W1-137-2016