论文信息 - A cluster-based parallel processing system for HJ-1 satellites data

A cluster-based parallel processing system for HJ-1 satellites data

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.

Yanshun Han | Jinghui Yang | Haitao Li | Yuanli Shi

[1] Li Chen,et al. Optimizing parallel performance of unstructured volume rendering for the Earth Simulator , 2003, Parallel Comput..

[2] Kenneth A. Hawick,et al. Distributed frameworks and parallel algorithms for processing large-scale geographic data , 2003, Parallel Comput..

[3] Massimo Cafaro,et al. A dynamic earth observation system , 2003, Parallel Comput..

[4] Chein-I. Chang. Hyperspectral Data Exploitation: Theory and Applications , 2007 .

[5] Guoqing Li,et al. Key Technologies Research on Building a Cluster-Based Parallel Computing System for Remote Sensing , 2005, International Conference on Computational Science.

[6] Chein-I Chang,et al. High Performance Computing in Remote Sensing , 2007, HiPC 2007.