Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

A Processing Framework of Grid Workflow for Remote Sensing Quantitative Retrieval

Authors
Ai Jianwen, Xue Yong
Corresponding Author
Ai Jianwen
Available Online August 2013.
DOI
10.2991/rsete.2013.227How to use a DOI?
Keywords
Workflow, Grid, Remote Sensing, Framework
Abstract

Grid workflow is an intuitive and convenient tool for user to use Grid services. It provides a framework for solving the remote sensing distributable computing problem in an integrated unified processing environment of Grid services. This paper firstly introduces the architecture of Grid workflow processing framework applying for remote sensing quantitative retrieval service. And then it gives the relevant method of Grid Workflow modeling and mapping for remote sensing retrieval service. Then the authors give a case of accomplishing the framework.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.227
ISSN
1951-6851
DOI
10.2991/rsete.2013.227How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ai Jianwen
AU  - Xue Yong
PY  - 2013/08
DA  - 2013/08
TI  - A Processing Framework of Grid Workflow for Remote Sensing Quantitative Retrieval
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 935
EP  - 938
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.227
DO  - 10.2991/rsete.2013.227
ID  - Jianwen2013/08
ER  -