• DocumentCode
    1444131
  • Title

    Discrimination of UXO in soil using broadband polarimetric GPR backscatter

  • Author

    O´Neill, Kevin

  • Author_Institution
    ERDC Cold Regions Res. & Eng. Lab. (CRREL), Hanover, NH, USA
  • Volume
    39
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    356
  • Lastpage
    367
  • Abstract
    Polarimetric analysis of ground penetrating radar (GPR) backscatter offers a new means of discriminating subsurface metallic target shapes from one another. Such discrimination is urgently needed to distinguish buried unexploded ordnance (UXO) from other subsurface objects. To illuminate the underlying phenomenology of scattering from objects enveloped in soil, three-dimensional (3D) simulations are performed over a broad frequency band, characteristic of new low frequency GPRs. For moist soil, this means that the subsurface wavelength may range from a fraction of the target size to an order of magnitude larger With a transmitting antenna representation that produces typical subsurface GPR beam features, combined effects of positional, orientation, and frequency diversity are investigated. Despite long wavelengths, results show distinctive features in reflections obtained from contrasting example target shapes. Full polarimetric analysis suggests the capability for inferring the length of elongated targets, aspect ratio and rotational symmetry, and gross shape along the axis for either elongated or flattened bodies of revolution in problematical orientations
  • Keywords
    backscatter; buried object detection; geophysical techniques; military radar; military systems; radar applications; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; terrain mapping; terrestrial electricity; UXO; backscatter; broadband polarimetric GPR backscatter; buried object detection; ground penetrating radar; land surface; measurement technique; metallic target; military system; mine detection; moist soil; radar polarimetry; radar remote sensing; radar scattering; subsurface shape; terrain mapping; three dimensional simulation; unexploded bomb; unexploded ordnance; Backscatter; Buried object detection; Frequency; Ground penetrating radar; Radar detection; Radar scattering; Rough surfaces; Shape; Soil; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.905244
  • Filename
    905244