• DocumentCode
    2940029
  • Title

    Water body extraction from multi-source satellite images

  • Author

    ZhaoHui, Zhang ; Prinet, Veronique ; SongDe, Ma

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    3970
  • Abstract
    This paper introduces an original entropy-based method for water body extraction from multi-source satellite images. The proposed method is remarkably simple and relies only on the assumption that water body in the image is a smooth area. This assumption is most of the time verified in optical and radar images, which makes the approach insensitive to image sensors. Experimental results illustrate the robustness of the proposed approach.
  • Keywords
    geophysical signal processing; image classification; image sensors; radar imaging; radar signal processing; remote sensing by radar; water resources; entropy-based method; image sensors; multisource satellite images; optical images; radar images; robustness; water body extraction; Data mining; Image sensors; Laser radar; Optical sensors; Radar imaging; Remote sensing; Rivers; Satellite broadcasting; Spaceborne radar; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295331
  • Filename
    1295331