
Proceedings Paper
A generalization-oriented partition approach of 3D building group modelsFormat | Member Price | Non-Member Price |
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Paper Abstract
With the development of digital city, 3D City Models (3DCM) are created and applied in more and more fields in recent
years. However, the geometric structure of 3DCM is complicated and the volume of texture data is huge, which is beyond the
real time rendering abilities of current work stations. On the other hand, various applications have different requirements on
the accuracy of geometric data and visual effects. Hence, the levels of detail (LoD) of 3DCM is of vital importance for a
3DCM. Because buildings are the main component of a city, research on the LOD of 3DCM focused on the LOD
representation of urban buildings by generalization. Different from 2D map generalization, where maps have standardized
official scale series, which lead to determinate generalization space and specific levels of detail. However, 3D building group
models have no uniform standard to specify the levels of detail, which leads to difficulties in defining specific generalization
space and geometric and semantic layer. Aiming at the automatic generalization of 3D urban building group models, this
paper proposes a hierarchical partition approach of 3D urban building-group models to obtain different levels of
generalization space.
Paper Details
Date Published: 29 December 2008
PDF: 8 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853J (29 December 2008); doi: 10.1117/12.814360
Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)
PDF: 8 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853J (29 December 2008); doi: 10.1117/12.814360
Show Author Affiliations
Qingguo Wang, Wuhan Univ. (China)
Wuhan Univ. of Science and Technology (China)
Wuhan Institute of Technology (China)
Qing Zhu, Wuhan Univ. (China)
Wuhan Univ. of Science and Technology (China)
Wuhan Institute of Technology (China)
Qing Zhu, Wuhan Univ. (China)
Weidong Ding, Wuhan Univ. of Science and Technology (China)
Hua Yang, Wuhan Institute of Technology (China)
Hua Yang, Wuhan Institute of Technology (China)
Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)
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