A multiple representation data structure for dynamic visualisation of generalised 3D city models

Bo Mao, Yifang Ban, Lars Harrie

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a novel multiple representation data structure for dynamic visualisation of 3D city models, called CityTree, is proposed. To create a CityTree, the ground plans of the buildings are generated and simplified. Then, the buildings are divided into clusters by the road network and one CityTree is created for each cluster. The leaf nodes of the CityTree represent the original 3D objects of each building, and the intermediate nodes represent groups of close buildings. By utilising CityTree, it is possible to have dynamic zoom functionality in real time. The CityTree methodology is implemented in a framework where the original city model is stored in CityGML and the CityTree is stored as X3D scenes. A case study confirms the applicability of the CityTree for dynamic visualisation of 3D city models. (C) 2010 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)198-208
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume66
Issue number2
DOIs
Publication statusPublished - 2011

Subject classification (UKÄ)

  • Physical Geography

Free keywords

  • 3D city models
  • Generalisation
  • Aggregation
  • Dynamic visualisation
  • Multiple representation data structure

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