Abstract
As the most important and most complex Geo-Information, remote sensing data can be fast processed with cluster-based parallel computation technologies. The through-out ability of every step of such processing will affect heavily the application of remote sensing image parallel processing technologies. This paper shall discuss more detail how to set up the through-out model of remote sensing image parallel processing and presents some deeply research works on such through-out mechanism. A lot of experiments have been given to support a quantitative analysis method to adjust the performance of remote sensing parallel processing system.
The above research is supported by the National Key Research and Development Plan of China.
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Keywords
- Parallel Processing System
- Distributi Input
- Remote Sensing Image
- Quantitative Analysis Method
- Chinese Academic
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
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Li, G., Ma, Y., Wang, J., Liu, D. (2006). Preliminary Through-Out Research on Parallel-Based Remote Sensing Image Processing. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758501_128
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DOI: https://doi.org/10.1007/11758501_128
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