• DocumentCode
    2530649
  • Title

    Grid based satellite image processing platform for Earth observation application development

  • Author

    Gorgan, Dorian ; Bacu, Victor ; Stefanut, Teodor ; Rodila, Denisa ; Mihon, Danut

  • Author_Institution
    Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2009
  • fDate
    21-23 Sept. 2009
  • Firstpage
    247
  • Lastpage
    252
  • Abstract
    Satellite images supply important information on Earth surface, weather, clime, geographic areas, vegetation, and natural phenomena. Processing of satellite data requires high computation resources and flexible tools in order to search, discover, and reveal the main information, to experiment new algorithms, and to include them into new Earth Observation applications. This paper describes the features and the architectures of the ESIP and gProcess platforms, supporting the Grid based satellite imagery processing. The development methodology of Earth Observation applications is highlighted as well in order to hide the Grid complexity to the user.
  • Keywords
    Earth; geophysical signal processing; grid computing; image processing; ESIP; Earth observation application development; Earth surface; environment oriented satellite data processing platform; gProcess platform; geographic area; grid-based satellite image processing platform; natural phenomena; vegetation; weather; Application software; Concrete; Conferences; Earth; Geoscience; Image processing; Satellites; Vegetation mapping; Web services; Workflow management software; Grid application development methodology; Grid based processing; Web service composition; satellite imagery; workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
  • Conference_Location
    Rende
  • Print_ISBN
    978-1-4244-4901-9
  • Electronic_ISBN
    978-1-4244-4882-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2009.5342987
  • Filename
    5342987