The organization and management of 3D multi-source space models data in GeoGlobe

Xinqin Chen; Yongzhi Zhang; Tao Yuan; Jun Pan

doi:10.1117/12.815594

29 December 2008 The organization and management of 3D multi-source space models data in GeoGlobe

Xinqin Chen, Yongzhi Zhang, Tao Yuan, Jun Pan

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853M (2008) https://doi.org/10.1117/12.815594
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

The traditional two-dimensional and three-dimensional GIS can no longer satisfy people's requirement to understand the real world. So, the new three-dimensional digital terrestrial GIS based on digital earth has been developed, which can give users more intuitive information. Further more, in a more realistic manner, the new three-dimensional digital terrestrial GIS can treatment Multi-source space information of models, It can indicate the variety, the quantity and the quality of spatial objects, the spatial location of these objects and the spatial and temporal distribution of the phenomena. This paper is based on GeoGlobe digital terrestrial platform. It requires some fast scheduling data method. Because the data organization and management methods in the traditional 3D GIS are no longer suitable according to the requirement of data scheduling in the digital earth theory, it is necessary to put forward a more reasonable and conformable data structure to implement clipping data scheduling. Advances one method, which takes geometric object model systems to deal with multi-source space model data and takes reasonable data organization, supports quick data scheduling for digital earth and constructs one 3D model database which is fit for digital earth's use.

Citation Download Citation

Xinqin Chen, Yongzhi Zhang, Tao Yuan, and Jun Pan "The organization and management of 3D multi-source space models data in GeoGlobe", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853M (29 December 2008); https://doi.org/10.1117/12.815594

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