Analysis of Remote Sensing Quantitative Inversion in Cloud Computing

被引：3
|
作者：
Dong, Jing [1 ,2 ,5 ]
Xue, Yong [1 ,2 ,3 ]
Chen, Ziqiang [4 ,5 ]
Xu, Hui [1 ,2 ,5 ]
Li, Yingjie [1 ,2 ,5 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Beijing Normal Univ, Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
[3] London Metropolitan Univ, Fac Comp, London N7 8DB, England
[4] Chinese Acad Sci, Ctr Earth Observ & Digital Earth, Beijing 100864, Peoples R China
[5] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
来源：
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年
关键词：
cloud computing; remote sensing quantitative inversion; bottleneck; data transfer; data sharing;
D O I：
10.1109/IGARSS.2011.6050194
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Cloud computing, a long-held dream of computing as a utility, has prosperous potential of transforming a large part of the information technology (IT) industry. It has successfully become a new business model in a short time. Now, many companies have launched their own products. Nevertheless, the current commercial mode does not meet the request of applications of remote sensing quantitative inversion.
引用
收藏
页码：4348 / 4351
页数：4
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