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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6050194
