Study on data collaboration service for Collaborative Virtual Geographic Environment

被引:0
|
作者
Zhu, Jun [1 ,2 ]
Gong, Jianhua [1 ]
Qi, Hua [3 ]
Song, Tao [4 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Minist Educ, Key Lab Poyang Lake Ecolog Envinornm & Res Dev, Nanchang, Peoples R China
[3] Southwest Jiaotong Univ, Dept Surveying Engn, Chengdu 610031, Peoples R China
[4] Inha Univ, Dept Geoinformat Engn, GIS Lab, Inchon 402751, South Korea
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The use of Collaborative Virtual Geographic Environments (CVGE) is one of the most promising uses of virtual reality in geographic field. Data collaboration can support multi-directional sharing of data and files, allowing ideas and thoughts to be communicated interactively among users. Thus how to integrate diverse and separated data and offer more convenient and intuitive data collaboration service becomes increasingly significant for implementing collaborative work in the CVGE. In this paper, we firstly design a Grid-based CVGE service framework and discuss the data searching mechanism and accessing control. A data collaboration service was built to integrate and share system internal resources and improve collaboration work efficiency. Finally, we built a collaborative virtual environment and implemented data collaboration service in silt dams system planning on a case study area, Jiu-Yuan-Gou watershed of Loess Plateau, China. Experiment results prove that the scheme addressed in the paper is efficient and feasible.
引用
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页码:344 / +
页数:2
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