Topological Reconstruction of 3D City Models with preservation of semantics

Vitalis, S.; Arroyo Ohori, G.A.K.; Stoter, J.E.

Topological Reconstruction of 3D City Models with preservation of semantics

Title

Topological Reconstruction of 3D City Models with preservation of semantics

Author

Vitalis, S. (TU Delft Urban Data Science)
Arroyo Ohori, G.A.K. (TU Delft Urban Data Science)
Stoter, J.E. (TU Delft Urban Data Science)

Contributor

Mansourian, Ali (editor)
Pilesjö, Petter (editor)
Harrie, Lars (editor)
van Lammeren, Ron (editor)

Date

2018

Abstract

3D city models are becoming increasingly important for applications such as evacuation scenarios and energy consumption estimation. For these applications embedding semantic information on geometry is a key factor. The most popular implementation of modern 3D city models is based on the CityGML data model which describes spatial 3D data using a geometrical representation according to the GML encoding standard. While CityGML supports some basic storage of topological relationships between geometric objects, it fails to offer a true 3D topological representation of the city model. Alternatively, a true topological data structure can be used as an intermediate data model, to enable enforcing certain restrictions and operations that are more efficient for specific applications. In this article, we discuss a method that we have developed for the automatic conversion of CityGML models to a topological structure, while maintaining semantic information that was initially attached to the city objects. Such an approach raises certain challenges, as the geometries are not one-to-one analogous to the topological objects that are needed to represent them. We also provide a few examples that indicate that such a method is not trivial for retaining all information that was initially stored in a city model.

Subject

3D city models
CityGML
Combinatorial Maps
Linear Cell Complex
Topological Reconstruction

To reference this document use:

http://resolver.tudelft.nl/uuid:2f14a1b9-b179-4d3a-91ca-eecd2c5aea6a

Publisher

Association of Geographic Information Laboratories for Europe (AGILE)

Source

Proceedings the 21th AGILE International Conference on Geographic Information Science: Geospatial Technologies for All

Event

AGILE 2018: 21st AGILE Conference on Geographic Information Science, 2018-06-12 → 2018-06-15, Lund, Sweden

Part of collection

Institutional Repository