Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IGARSS.2011.6050194 | IGARSS |
Keywords | Field | DocType |
remote sensing,geophysics computing,business model,commercial mode,inverse problems,information technology industry,electronic data interchange,remote sensing quantitative inversion,bottleneck,cloud computing,data transfer,data sharing,indexing terms,data models,computational modeling,computer model,information technology,data model | Data modeling,Electronic data interchange,Computer science,Inversion (meteorology),Information technology,Remote sensing,Data sharing,Utility computing,Business model,Cloud computing | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 |
ISBN | Citations | PageRank |
978-1-4577-1003-2 | 1 | 0.36 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Dong | 1 | 4 | 3.68 |
| Yong Xue | 2 | 118 | 57.61 |
| Ziqiang Chen | 3 | 12 | 3.41 |
| Hui Xu | 4 | 26 | 8.13 |
| Yingjie Li | 5 | 45 | 15.79 |