• DocumentCode
    3414642
  • Title

    Surface targets recognition by using the maximum likelihood estimator in remote sensing radars

  • Author

    Zakeri, B. ; Kalantari, E.

  • Author_Institution
    Babol Noshirvani Univ. of Technol., Babol, Iran
  • Volume
    2
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    1672
  • Lastpage
    1675
  • Abstract
    A new approach to recognize radar targets in imaging radars is presented. In this investigation, we deal with the statistical properties of the scattering mechanism for several types of radar targets, e.g., rough surfaces and vegetation canopies. For these targets, the use of deterministic techniques such as the target decomposition cannot be used alone. Therefore a statistical approach is applied to evaluate target parameters. Results show that this approach is a powerful tool to analysis of natural targets.
  • Keywords
    maximum likelihood estimation; radar imaging; radar tracking; remote sensing; target tracking; maximum likelihood estimator; radar imaging; radar targets; remote sensing radars; statistical approach; statistical properties; surface targets recognition; target decomposition; Covariance matrix; Radar imaging; Rough surfaces; Scattering; Sea surface; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159888
  • Filename
    6159888