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Proceedings Paper

High performance cluster system design for remote sensing data processing
Author(s): Yuanli Shi; Wenming Shen; Wencheng Xiong; Zhuo Fu; Rulin Xiao
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Paper Abstract

During recent years, cluster systems have played a more important role in the architecture design of high-performance computing area which is cost-effective and efficient parallel computing system able to satisfy specific computational requirements in the earth and space sciences communities. This paper presents a powerful cluster system built by Satellite Environment Center, Ministry of Environment Protection of China that is designed to process massive remote sensing data of HJ-1 satellites automatically everyday. The architecture of this cluster system including hardware device layer, network layer, OS/FS layer, middleware layer and application layer have been given. To verify the performance of our cluster system, image registration has been chose to experiment with one scene of HJ-1 CCD sensor. The experiments of imagery registration shows that it is an effective system to improve the efficiency of data processing, which could provide a response rapidly in applications that certainly demand, such as wild land fire monitoring and tracking, oil spill monitoring, military target detection, etc. Further work would focus on the comprehensive parallel design and implementations of remote sensing data processing.

Paper Details

Date Published: 8 November 2012
PDF: 8 pages
Proc. SPIE 8539, High-Performance Computing in Remote Sensing II, 85390N (8 November 2012); doi: 10.1117/12.975805
Show Author Affiliations
Yuanli Shi, Ministry of Environmental Protection (China)
Wenming Shen, Ministry of Environmental Protection (China)
Wencheng Xiong, Ministry of Environmental Protection (China)
Zhuo Fu, Ministry of Environmental Protection (China)
Rulin Xiao, Ministry of Environmental Protection (China)

Published in SPIE Proceedings Vol. 8539:
High-Performance Computing in Remote Sensing II
Bormin Huang; Antonio J. Plaza, Editor(s)

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