Generalization of 3D linear building groups for 3D city modeling

Qing-guo Wang; Jingui Zou; Lihua Zhang

doi:10.1117/12.713276

28 October 2006 Generalization of 3D linear building groups for 3D city modeling

Qing-guo Wang, Jingui Zou, Lihua Zhang

Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 642002 (2006) https://doi.org/10.1117/12.713276
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

With the development of digital city, 3D City Models (3DCM) are created and applied in more and more fields in recent years. In 3DCMs, buildings are the main components. The real-time visualization of large 3D city models requires the representation of the buildings in different levels of detail. Aiming at the automatic generation of multiple levels of detail of 3D linear building groups, this paper presents a generalization framework which extends the cartographic generalization algorithm mainly based on the operation of aggregation for the geometric simplification of linear 3D building groups. This framework is mainly composed of clustering buildings, the extraction of the generalization constraints, and generalization procedures. Experimental results illustrate that the proposed framework is useful to the real-time visualization applications of large-scale 3DCM.

Citation Download Citation

Qing-guo Wang, Jingui Zou, and Lihua Zhang "Generalization of 3D linear building groups for 3D city modeling", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642002 (28 October 2006); https://doi.org/10.1117/12.713276

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