• DocumentCode
    3159654
  • Title

    Matching procedure for remote sensing images

  • Author

    AbdelSayed, Sherif ; Ionescue, Dan ; Goodenough, David

  • Author_Institution
    Ottawa Univ., Ont., Canada
  • fYear
    1994
  • fDate
    25-28 Sep 1994
  • Firstpage
    413
  • Abstract
    In remote sensing applications there is a need for matching the two images. This paper describes a general purpose algorithm for the automated registration and matching of remote sensing images. The method is based on a modified version of the iterative closest point (ICP) algorithm. The algorithm requires a procedure to find the closest point for geometric entity of a given point then it builds a deformation mapping. An example from Ottawa area illustrates the procedure
  • Keywords
    image matching; image registration; iterative methods; remote sensing; Ottawa area; automated image matching; automated registration; deformation mapping; general purpose algorithm; geometric entity; iterative closest point algorithm; remote sensing images; Image matching; Image registration; Iterative methods; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1994.405776
  • Filename
    405776
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3159654