• DocumentCode
    3203641
  • Title

    A comparison of phase retrieval algorithms with a remote sensing scenario

  • Author

    Dixon, D. Brian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Air Force Inst. of Techology, Wright-Patterson AFB, OH
  • fYear
    2009
  • fDate
    7-14 March 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Three iterative algorithms for phase retrieval from intensity data are compared. Computer simulation provides the basis for comparing each algorithm´s performance for object recovery from noisy autocorrelations corrupted with exponential statistics. This paper justifies the use of exponential statistics with a simplified model of a remote sensing application.
  • Keywords
    atmospheric techniques; atmospheric turbulence; geophysics computing; maximum likelihood estimation; remote sensing; Fienups Error Reduction method; Gerchberg-Saxton phase retrieval algorithm; atmospheric turbulence; computer simulation; maximum likelihood method; remote sensing application; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace conference, 2009 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4244-2621-8
  • Electronic_ISBN
    978-1-4244-2622-5
  • Type

    conf

  • DOI
    10.1109/AERO.2009.4839452
  • Filename
    4839452
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3203641