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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Workflow-based Remote-Sensing Image Processing Application in ImageGrid
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
ASCII Text
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Ran Zheng, Hai Jin, Qin Zhang, Ying Li, "Workflow-based Remote-Sensing Image Processing Application in ImageGrid," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 390-394, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.254,
author = {Ran Zheng and Hai Jin and Qin Zhang and Ying Li},
title = {Workflow-based Remote-Sensing Image Processing Application in ImageGrid},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {390-394},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.254},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Workflow-based Remote-Sensing Image Processing Application in ImageGrid
SN - 0-7695-2405-2
SP390
EP394
A1 - Ran Zheng,
A1 - Hai Jin,
A1 - Qin Zhang,
A1 - Ying Li,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Ran Zheng, Huazhong University of Science and Technology, Wuhan,China
Hai Jin, Huazhong University of Science and Technology, Wuhan,China
Qin Zhang, Huazhong University of Science and Technology, Wuhan,China
Ying Li, Huazhong University of Science and Technology, Wuhan,China
Remote-sensing image processing applications demand large-scale, collaborative processing and storage capabilities. Computational grid can provide abundant powerful computational resources with sharing and cooperation in grid environment. This paper gives an introduction to a collaborative processing mechanism based on workflow technology implemented in ImageGrid. The main idea is to encapsulate all parallel algorithms of remote-sensing image processing into grid services and recombine them with grid workflow to satisfy more and more complex remote-sensing image processing applications. In particular, we describe the architecture of the workflow-based grid system and the processing flow. We also give out the algorithm classification and an example of remote-sensing image processing grid application.
Citation:
Ran Zheng, Hai Jin, Qin Zhang, Ying Li, "Workflow-based Remote-Sensing Image Processing Application in ImageGrid," pdcat, pp.390-394, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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