• DocumentCode
    780503
  • Title

    Mixture multiscale autoregressive modelling of SAR imagery for segmentation

  • Author

    Wen, Xian-Bin ; Tian, Zheng

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    39
  • Issue
    17
  • fYear
    2003
  • Firstpage
    1272
  • Lastpage
    1274
  • Abstract
    A new and efficient multiscale model for the segmentation of synthetic aperture radar imagery, namely the mixture multiscale autoregressive (MMAR) model, is presented. The estimation of parameters is easily performed via expectation maximisation algorithm. Experimental results of the MMAR model are proposed and compared with those of previous methods.
  • Keywords
    image segmentation; parameter estimation; radar imaging; synthetic aperture radar; SAR imagery; expectation maximisation algorithm; mixture multiscale autoregressive modelling; parameter estimation; segmentation; synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030805
  • Filename
    1231320
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=780503