• DocumentCode
    1456762
  • Title

    Regularization of noisy ISAR images containing extended features

  • Author

    Borden, Brett

  • Author_Institution
    Res. & Technol. Group, Naval Air Warfare Centre Weapons Div., China Lake, CA, USA
  • Volume
    8
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    124
  • Lastpage
    127
  • Abstract
    We present a regularization method that employs a cross-entropy functional and which deals with the three issues of complex-valued data, prior information, and noise mitigation. The basic model of this approach is similar to that used in usual maximum a posteriori analysis and allows for a more general relationship between the image and its configuration entropy than that usually employed
  • Keywords
    Bayes methods; entropy; image reconstruction; noise; radar imaging; synthetic aperture radar; ISAR images; complex-valued data; cross-entropy functional; extended features; noise mitigation; noisy images; prior information; regularization method; Circuits; Entropy; Error correction; Filter bank; Image coding; Image processing; Inverse problems; Lagrangian functions; Pollution measurement; Space technology;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.736704
  • Filename
    736704
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1456762