DocumentCode
1902295
Title
Analysis of remote sensing quantitative inversion in cloud computing
Author
Dong, Jing ; Xue, Yong ; Chen, Ziqiang ; Xu, Hui ; Li, Yingjie
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear
2011
fDate
24-29 July 2011
Firstpage
4348
Lastpage
4351
Abstract
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.
Keywords
cloud computing; electronic data interchange; geophysics computing; inverse problems; remote sensing; business model; cloud computing; commercial mode; data sharing; data transfer; information technology industry; remote sensing quantitative inversion; Cloud computing; Companies; Computational modeling; Data models; Remote sensing; bottleneck; cloud computing; data sharing; data transfer; remote sensing quantitative inversion;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location
Vancouver, BC
ISSN
2153-6996
Print_ISBN
978-1-4577-1003-2
Type
conf
DOI
10.1109/IGARSS.2011.6050194
Filename
6050194
Link To Document