• DocumentCode
    1877644
  • Title

    High performance image processing of satellite images using graphics processing units

  • Author

    Rumanek, Michal ; Danek, Tomasz ; Lesniak, Andrzej

  • Author_Institution
    AGH - Univ. of Sci. & Technol., Krakow, Poland
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    559
  • Lastpage
    561
  • Abstract
    This paper presents preliminary results of studies concerning possibilities of high performance processing of satellite images using graphics processing units. Even if numerical procedures used for this kind of computation are not complicated and fast, size of typical satellite scene makes them time consuming. This problem is especially troublesome when many, sometimes hundredths of scenes, have to be processed in one computational task. At the present state of the study, using distributed GPU-based computational infrastructure allows to reduce time of typical computation 5 to 6 times. It should be stressed that these results were obtained using three old CUD A 2.1 NVIDIA Quadro 1600M card cluster which efficiency cannot be compared to efficiency of modern CPUs.
  • Keywords
    computer graphic equipment; coprocessors; geophysical image processing; numerical analysis; parallel architectures; CUDA 2.1; NVIDIA Quadro 1600M card cluster; distributed GPU-based computational infrastructure; graphics processing units; high performance satellite image processing; numerical procedures; satellite scene; Earth; Graphics processing unit; Image processing; Instruction sets; Remote sensing; Satellites; CUDA; Image processing; distributed computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049189
  • Filename
    6049189