• DocumentCode
    2032530
  • Title

    A Remote Sensing Image Process Method of Supervised Classification under Grid Environment

  • Author

    Liu, Zili ; Gao, Wanlin ; Wang, Qing ; Zhang, Ganghong ; Yu, Lina

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classification of remote sensing image.
  • Keywords
    geophysical signal processing; grid computing; image classification; remote sensing; Bayesian classification; Globus Toolkit2.4; grid environment; remote sensing image process method; supervised classification; Computer networks; Concurrent computing; Distributed computing; Earth; Grid computing; Image classification; Image processing; Remote sensing; Resource management; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072669
  • Filename
    5072669
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2032530