Generalization of 3D Buildings Modelled by CityGML

被引:35
作者
Fan, Hongchao [1 ]
Meng, Liqiu [1 ]
Jahnke, Mathias [1 ]
机构
[1] Tech Univ Munich, Dept Cartog, D-80333 Munich, Germany
来源
ADVANCES IN GISCIENCE | 2009年
关键词
Generalization; 3D building; CityGML; Typification; Simplification;
D O I
10.1007/978-3-642-00318-9_20
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
CityGML (City Geography Markup Language) not only represents the shape and graphical appearance of 3D buildings but specifically addresses the object semantics and the thematic properties, taxonomies and aggregations. The generalization algorithm presented in this paper takes this advantage of CityGML. That means that our approach considers the semantic information associated with geometrical objects of buildings to be generalized. Experiments show that the approach can reduce about 90% of the storage space of 3D buildings while keeping the information amounts as far as possible.
引用
收藏
页码:387 / 405
页数:19
相关论文
共 16 条
[1]   Generalization of 3D building data based on a scale-space approach [J].
Forberg, Andrea .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2007, 62 (02) :104-111
[2]  
Groger G., 2008, OpenGIS city geography markup language (CityGML) encoding standard
[3]  
Kada M., 2006, P ISPRS WORKSH MULT
[4]  
Kada M., 2007, P JOINT ISPRS WORKSH
[5]  
Kolbe TH., 2008, 3D Geo-Information Sciences, P15
[6]   Automated building generalization based on urban morphology and Gestalt theory [J].
Li, Z ;
Yan, H ;
Ai, T ;
Chen, J .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2004, 18 (05) :513-534
[7]   Scale-spaces for generalization of 3D buildings [J].
Mayer, H .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2005, 19 (8-9) :975-997
[8]  
Meng L., 2007, GEN GEOGRAPHIC INFOR
[9]   Optimization approaches for generalization and data abstraction [J].
Sester, M .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2005, 19 (8-9) :871-897
[10]  
Sester M., 2000, INT ARCH PHOTOGRA B4, V33, P931, DOI DOI 10.1080/136588100240930