30 October 2009 A cluster-based parallel processing system for HJ-1 satellites data
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Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749714 (2009); doi: 10.1117/12.833224
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Haitao Li, Yuanli Shi, Jinghui Yang, Yanshun Han, "A cluster-based parallel processing system for HJ-1 satellites data", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749714 (30 October 2009); doi: 10.1117/12.833224; http://dx.doi.org/10.1117/12.833224
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KEYWORDS
Image processing

Data processing

Remote sensing

Parallel processing

Data modeling

Satellites

Computing systems

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