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Proceedings Paper

Study on data-organization of grid-VGE
Author(s): Xian Wu; JianHua Gong; DePeng Zhao; Jun Zhu; JianQin Zhang; BingLi Xu
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Paper Abstract

Virtual Geography Environment (VGE) is a comprehensive subject concerning remote sensing, geography, information theory and communication etc. There have multi-source, diff-structure, interdiscipline, and inter-organizations data related to VGE. Moreover, the tasks in VGE will cover many aspects inevitably. In order to complete the task proposed by user, it is required to integrate, link and share the distributed data in different organizations or domains. But it is almost impossible to solve many problems by using traditional ways such as changing some kinds of data structures which has formed standard. The advent of the third network technology, Grid, gives VGE new dimension of development. Grid has some hard core functions, such as shielding diff-structure data, harmonizing resource-sharing and cooperating with each other in virtual organization to complete the task. Based on the Grid and VGE, the Grid Virtual Geographical Environment (Grid-VGE) is put forward, which abides by the standard of Open Grid Services Architecture (OGSA), takes Services as core and constructing virtual database. In order to link, integrate and share all required data, we abstract all data into metadata and description to interlink through link based on the standard of OGSA. The proposed data structure method can absorb any data anytime while not modifying the original data and it will enlarge and increase efficiency of the application in VGE.

Paper Details

Date Published: 2 December 2005
PDF: 7 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604507 (2 December 2005); doi: 10.1117/12.650265
Show Author Affiliations
Xian Wu, Dalian Maritime Univ. (China)
Institute of Remote Sensing Applications, CAS (China)
JianHua Gong, Institute of Remote Sensing Applications, CAS (China)
DePeng Zhao, Dalian Maritime Univ. (China)
Jun Zhu, Institute of Remote Sensing Applications, CAS (China)
JianQin Zhang, Institute of Remote Sensing Applications, CAS (China)
BingLi Xu, Institute of Remote Sensing Applications, CAS (China)


Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications

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