Abstract
The great advancement in remote-sensing technologies has brought new challenge to remote-sensing image processing: remote-sensing image processing demands processing capabilities of larger scale and cooperation in broader scope. Computational Grid provides rich computational resources and powerful storage capacity, which enables the sharing and cooperation within large scope and offers an ideal platform for remote-sensing image processing. In this paper, the parallel remote-sensing image processing software: PRIPS is encapsulated into a kind of Grid service in computational Grid. In this way, the service system for parallel remote-sensing image processing: PRIPSS-G is implemented. We first introduce the architecture of the parallel remote-sensing image processing software: PRIPS, then present its service implementation in Grid, and finally give some operational interfaces of this system and some related experimental results.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yang, XJ., Chang, Zm., Zhou, H., Qu, X., Li, CJ. (2004). Services for Parallel Remote-Sensing Image Processing Based on Computational Grid. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004 Workshops. GCC 2004. Lecture Notes in Computer Science, vol 3252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30207-0_84
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DOI: https://doi.org/10.1007/978-3-540-30207-0_84
Publisher Name: Springer, Berlin, Heidelberg
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