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SSCCIP – A Framework for Building Distributed High-Performance Image Processing Technologies

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Parallel Computing Technologies (PaCT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6873))

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Abstract

The paper describes the experimental framework for distributed image processing with the use of multicomputer providing fast development of high-performance remote sensing data processing technologies. Basic principles of system building, some architectural solutions, and sample implementation of concrete processing technologies are given.

Supported by Russian Foundation for Basic Research (project No. 10-07-00131a).

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References

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Author information

Authors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics SB RAS prospect, Akademika Lavrentjeva, 6, Novosibirsk, 630090, Russia

    Evgeny V. Rusin

Authors
  1. Evgeny V. Rusin
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Editor information

Editors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics, Supercomputer Software Department, Russian Academy of Sciences Pr. Lavrentieva, ICM&MG RAS, 630090, Novosibirsk, Russia

    Victor Malyshkin

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© 2011 Springer-Verlag Berlin Heidelberg

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Rusin, E.V. (2011). SSCCIP – A Framework for Building Distributed High-Performance Image Processing Technologies. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2011. Lecture Notes in Computer Science, vol 6873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23178-0_42

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  • DOI: https://doi.org/10.1007/978-3-642-23178-0_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23177-3

  • Online ISBN: 978-3-642-23178-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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