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REMOTE SENSING FOR LAND & RESOURCES    2001, Vol. 13 Issue (4) : 1-6     DOI: 10.6046/gtzyyg.2001.04.01
Review |
A TENTATIVE DISCUSSION ON ESTABLISHMENT MULTIDIMENSIONAL INFORMATION ENVIRONMENT FOR GEO-SCIENCES
LIAO Shun-bao
Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China
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Abstract  

This paper deals with the construction of a new generation information platform for researches on resources and environment on the basis of modern information technology, especially VR technology, and also discusses the functions that the platform should possess and the ways of its implementation.

Keywords Remote sensing      Active fault      Network fault     
Issue Date: 02 August 2011
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FAN Min
HUANG Jie
HAN Lei
LIU Zhi
Cite this article:   
FAN Min,HUANG Jie,HAN Lei, et al. A TENTATIVE DISCUSSION ON ESTABLISHMENT MULTIDIMENSIONAL INFORMATION ENVIRONMENT FOR GEO-SCIENCES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2001, 13(4): 1-6.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2001.04.01     OR     https://www.gtzyyg.com/EN/Y2001/V13/I4/1


[1] 汪成为.灵境(虚拟现实)技术的理论、实现及应用[M].北京:清华大学出版社,1996.


[2] 陈述彭.地球信息科学与区域持续发展[M].北京:测绘出版社,1995.


[3] 孙九林.资源环境科学虚拟创新环境的探讨[J].资源科学,1999,21(1):1-8.


[4] 张旆.WWW上的虚拟现实技术--VRML语言[M].北京:电子工业出版社,1998.


[5] 谢传节.虚拟现实的宽阔前景[J].地球信息科学,1999,(2):38-42.


[6] 黄心渊.虚拟现实技术与应用[M].北京:科学出版社,1999.


[7] 乔旸,徐东平,解玉峰,等.虚拟现实技术在电子商务中的应用[J].微型机与应用,2001,20(2):36-37.


[8] 林炳耀.探索虚拟城市[J].地球信息科学,1999,(1).


[9] 吉根林,等.数据挖掘技术及其应用[J].南京师大学报(自然科学版),2000,23(2):25-27.


[10] 宋关福,等.多源空间数据无缝集成研究[J].地理科学进展,2000,19(22):110-115.


[11] Clayton Crawford.Virtualising the 3D Real World(6)[J].GIM International, 2000,14(9).

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