• DocumentCode
    3169680
  • Title

    Segmentation of GPR Images

  • Author

    Verdenskaya, N.V. ; Sazonov, V.V. ; Ivanova, L.A. ; Yarovoy, A.G. ; Ligthart, L.P.

  • Author_Institution
    Mints Radiotech. Inst., Moscow Inst. of Phys. and Technol.
  • fYear
    2006
  • fDate
    13-15 Sept. 2006
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    In this paper the threshold segmentation rules for GPR data are considered. Bayesian and conditional extremum approaches are used for choosing the threshold. The suggested approaches are compared using both model and real GPR data. The results of the image segmentation are given
  • Keywords
    Bayes methods; ground penetrating radar; image segmentation; radar imaging; Bayesian approach; GPR image segmentation; conditional extremum approach; ground penetrating radar; Area measurement; Bayesian methods; Data processing; Ground penetrating radar; Image segmentation; Object detection; Partitioning algorithms; Physics; Radar imaging; Testing; Bayes procedures; estimation; image segmentation; radar data processing; radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2006. EuRAD 2006. 3rd European
  • Conference_Location
    Manchester
  • Print_ISBN
    2-9600551-7-9
  • Type

    conf

  • DOI
    10.1109/EURAD.2006.280269
  • Filename
    4058253
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3169680