• DocumentCode
    969379
  • Title

    Refraction and Dispersion Effects Compensation for UWB SAR Subsurface Object Imaging

  • Author

    Jin, Tian ; Zhou, Zhimin

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • Volume
    45
  • Issue
    12
  • fYear
    2007
  • Firstpage
    4059
  • Lastpage
    4066
  • Abstract
    It is a trend to use airborne or vehicle-borne ultrawideband synthetic aperture radar (UWB SAR) to quickly detect subsurface objects, i.e., landmines or minefields, over large areas from a safe standoff distance. The traditional image formations without considering the refraction and dispersion of electromagnetic wave will lead to locating error and defocusing for subsurface objects. In this paper, an efficient refraction and dispersion effects compensation method is proposed, which can be integrated with the traditional three-stage automatic target detection framework for detection of subsurface landmines. The compensation method can focus and correctly locate multiple objects buried in different soils with different depths over large areas, which satisfies the operating requirement of an airborne or vehicle-borne UWB SAR system. The proposed method is proved efficient for subsurface object imaging by the field data collected by a UWB SAR system.
  • Keywords
    dispersion (wave); electromagnetic wave refraction; geophysical techniques; ground penetrating radar; landmine detection; radar imaging; synthetic aperture radar; UWB SAR subsurface object imaging; automatic target detection; dispersion effects compensation method; electromagnetic wave; landmines; minefield; refraction; ultrawideband synthetic aperture radar; Dispersion; Electromagnetic refraction; Electromagnetic scattering; Focusing; Landmine detection; Object detection; Radar detection; Synthetic aperture radar; Ultra wideband technology; Vehicle detection; Refraction and dispersion; subsurface imaging; synthetic aperture radar (SAR); ultrawideband (UWB);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2007.905105
  • Filename
    4378559