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Proceedings Paper

A cluster-based parallel processing system for HJ-1 satellites data
Author(s): Haitao Li; Yuanli Shi; Jinghui Yang; Yanshun Han
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Paper Abstract

The application of High Performance Computing (HPC) technology to remote sensing data processing is one solution to meet the requirements of remote sensing real- or near-real-time processing capabilities. We presented a cluster-based parallel processing system for HJ-1 satellites data, named Cluster Pro. This paper presents the basic architecture and implementation of the system. We did imagery mosaic experiment with the Cluster Pro, where the HJ-1 CCD data in Beijing city was used. The experiments showed that the Cluster Pro was a useful system to improve the efficiency of data processing. Further work would focus on the comprehensive parallel design and implementations of remote sensing data processing.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749714 (30 October 2009); doi: 10.1117/12.833224
Show Author Affiliations
Haitao Li, Chinese Academy of Surveying and Mapping (China)
Yuanli Shi, Chinese Academy of Surveying and Mapping (China)
Jinghui Yang, Chinese Academy of Surveying and Mapping (China)
Wuhan Univ. (China)
Yanshun Han, Chinese Academy of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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