• DocumentCode
    3021229
  • Title

    Change detection in aerial images

  • Author

    Borchani, M. ; Cloppet, F. ; Volkan, A. ; Georges, S.

  • Author_Institution
    Universite Paris 5
  • fYear
    2004
  • fDate
    17-19 May 2004
  • Firstpage
    354
  • Lastpage
    360
  • Abstract
    This paper deals with how to characterize texture and how to get a good description of images with a minimal number of parameters. This procedure is more objective than textual data. Texture characterization has been used in a matching system to detect changes in couples of aerial images taken at two different times using different order of statistics to describe images. The results are quite encouraging.
  • Keywords
    Business; Computer errors; Content based retrieval; Entropy; Frequency; Image matching; Image retrieval; Information retrieval; Neural networks; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2004. Proceedings. First Canadian Conference on
  • Conference_Location
    London, ON, Canada
  • Print_ISBN
    0-7695-2127-4
  • Type

    conf

  • DOI
    10.1109/CCCRV.2004.1301467
  • Filename
    1301467
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3021229