• DocumentCode
    2621265
  • Title

    Non-additive noise and optimal correlation

  • Author

    Réfrégier, Philippe ; Goudail, Franqois ; Gaidon, Thierry ; Guillaume, Mireille

  • Author_Institution
    Lab. Signal et Image, ENSPM, Marseille, France
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    639
  • Abstract
    The optimal detection and location of a target in a scene in presence of non-additive noise is studied. The optimal processors in the maximum likelihood sense are determined for different white or correlated noise statistics. It is shown that the required computations are mainly correlations, and that there is no need of iterative methods
  • Keywords
    Gaussian noise; correlation methods; image processing; maximum likelihood detection; maximum likelihood estimation; target tracking; white noise; correlated noise; image processing; maximum likelihood sense; noise statistics; non-additive noise; optimal correlation; target detection; target location; white noise; Additive noise; Background noise; Detectors; Layout; Matched filters; Maximum likelihood detection; Optical filters; Shape; Statistics; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560576
  • Filename
    560576
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2621265