Name
Title | ||
|---|---|---|
An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments |
Abstract | ||
|---|---|---|
The large amount of data produced by satellites and airborne remote sensing instruments has posed important challenges to efficient and scalable processing of remotely sensed data in the context of various applications. In this paper, we propose a new big data framework for processing massive amounts of remote sensing images on cloud computing platforms. In addition to taking advantage of the para... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2018.2890513 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Remote sensing,Task analysis,Cloud computing,Processor scheduling,Big Data,Optimization,Training | Computer vision,Data processing,Scheduling (computing),Directed acyclic graph,Remote sensing application,Artificial intelligence,Big data,Mathematics,Speedup,Distributed computing,Cloud computing,Scalability | Journal |
Volume | Issue | ISSN |
57 | 7 | 0196-2892 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Sun | 1 | 9 | 3.52 |
| Yi Zhang | 2 | 3 | 1.40 |
| Zebin Wu | 3 | 260 | 30.82 |
| Yaoqin Zhu | 4 | 1 | 1.05 |
| Xianliang Yin | 5 | 1 | 0.37 |
| Zhongzheng Ding | 6 | 1 | 0.37 |
| Zhihui Wei | 7 | 428 | 50.68 |
| Antonio Plaza | 8 | 3475 | 262.63 |
| Antonio Plaza | 9 | 83 | 17.35 |