• DocumentCode
    1952612
  • Title

    Classification of objects by radar remote sensing

  • Author

    Ligthart, L.P. ; Logvin, A.I. ; Kozlov, A.I.

  • Author_Institution
    IRCTR, Delft Univ. of Technol., Netherlands
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    159
  • Abstract
    At present radar object classification by means of radar remote sensing making use of the appropriate received information is widely based on the Bayesian approach. However, this does not take into account that certain parameters (attributes) of sensed objects (and derived from measured data) have a certain degree of uncertainty. This uncertainty consideration necessitates a modification in the Bayesian approach. This modified variant of the Bayesian approach to be used for classification of sensed radar objects is described in this paper.
  • Keywords
    Bayes methods; image classification; radar imaging; radar theory; remote sensing by radar; uncertain systems; modified Bayesian approach; radar object classification; radar remote sensing; uncertainty; Bayesian methods; Earth; Equations; Error correction; Error probability; Probability density function; Radar remote sensing; Remote sensing; Uncertainty; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar and Wireless Communications, 2002. MIKON-2002. 14th International Conference on
  • Print_ISBN
    83-906662-5-1
  • Type

    conf

  • DOI
    10.1109/MIKON.2002.1017825
  • Filename
    1017825