ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W1, 137-143, 2016
05 Oct 2016
K. Kumar, H. Ledoux, and J. Stoter 3D Geoinformation, Delft University of Technology, the Netherlands
Keywords: CityGML, GML, Terrains, TINs 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).
Conference paper (PDF, 2969 KB)

Citation: Kumar, K., Ledoux, H., and Stoter, J.: A CITYGML EXTENSION FOR HANDLING VERY LARGE TINS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W1, 137-143, doi:10.5194/isprs-annals-IV-2-W1-137-2016, 2016.

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