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Compactly representing massive terrain models as TINs in CityGML.

Kavisha Kumar1, Hugo Ledoux1, Jantien Stoter1

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|April 30, 2019
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This summary is machine-generated.

This study introduces an improved storage method for massive Triangulated Irregular Networks (TINs) in 3D city models. The new approach significantly compresses CityGML files, enhancing efficiency for large-scale terrain data management.

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Area of Science:

  • Geographic Information Systems (GIS)
  • 3D City Modeling
  • Geospatial Data Management

Background:

  • Terrains are crucial components of 3D city models, often represented by 2D grids or Triangulated Irregular Networks (TINs).
  • Massive terrain datasets, like the 3DTOP10NL covering the Netherlands with over a billion triangles, pose significant storage and maintenance challenges.
  • The current CityGML standard's Simple Feature representation for TINs is inadequate for handling such large-scale data.

Purpose of the Study:

  • To propose an improved storage representation for massive terrain models using TINs within the CityGML framework.
  • To address the limitations of existing methods for storing and maintaining large-scale TIN datasets.
  • To develop an efficient solution for compressing and managing extensive terrain data in 3D city models.

Main Methods:

  • Reviewing various data structures for compact TIN representation.
  • Implementing an improved storage solution as an Application Domain Extension (ADE) for CityGML.
  • Modeling the ADE using UML and automatically deriving XML schemas.

Main Results:

  • Achieved compression of CityGML files by a factor of approximately 20 for terrains with over a billion triangles.
  • Successfully implemented an efficient method for storing massive TINs.
  • The proposed method explicitly preserves the topological relationships within TIN models.

Conclusions:

  • The developed CityGML ADE offers a highly efficient solution for storing massive TIN terrain models.
  • This approach significantly reduces file sizes, making large-scale terrain data more manageable.
  • Explicitly storing topological relationships enhances the utility and integrity of the stored terrain data.