DocumentCode :
3329981
Title :
3D visualization computing in fast design and construction
Author :
Du Xiaoping ; Fan Xiangtao ; Zhang Bing ; Nan Rendong ; Zhu Junjie ; Tan Jian ; Liu Shuo
Author_Institution :
Key Lab. of Digital Earth, Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4564
Lastpage :
4567
Abstract :
This paper describes a 3D visualization computing methodology to aid the design of tremendous civil engineering in exploiting DEM and RS images. The methodology has been applied to the design and construction of astronomical telescope project, the FAST. Attempting to meet scientific and technological challenges in the process of the project, this paper has developed an innovational 3D computing platform. To simulate the virtual environment of the spot, 3D terrain model has been created based on QuickBird images and DEM, meanwhile, subtle model of massive main active reflector is loaded on the terrain. The algorithm of optimizing telescope antenna location in depressions is presented. In the virtual environment, considering the slope of the terrain, the distribution of feed supporting towers on the telescope has been optimized. It has been proved that the proposed methodology is of high efficiency in the practice of the application.
Keywords :
civil engineering computing; data visualisation; design engineering; digital elevation models; geophysical image processing; optimisation; radiotelescopes; remote sensing; terrain mapping; virtual reality; 3D terrain model; 3D visualization computing; DEM image; FAST; QuickBird image; RS image; active reflector; astronomical telescope project; civil engineering; feed supporting tower; five hundred meter aperture spherical radiotelescope; telescope antenna location optimization; virtual environment; Feeds; Poles and towers; Radio astronomy; Solid modeling; Telescopes; Three dimensional displays; Visualization; 3D visualization computing; DEM; FAST; site selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5651260
Filename :
5651260
Link To Document :
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