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Preliminary Through-Out Research on Parallel-Based Remote Sensing Image Processing

  • Guoqing Li
  • Yan Ma
  • Jian Wang
  • Dingsheng Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3991)

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.

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., Liu, D.: Key Technologies Research on Building a Cluster-based Parallel Computing System for Remote Sensing. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3516, pp. 484–490. Springer, Heidelberg (2005)CrossRefGoogle Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guoqing Li
    • 1
  • Yan Ma
    • 2
  • Jian Wang
    • 1
  • Dingsheng Liu
    • 1
  1. 1.Key laboratory, Remote Sensing Satellite Ground StationChinese Academic of SciencesBeijingChina
  2. 2.Graduate University, Chinese Academic of SciencesBeijingChina

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