• DocumentCode
    1162423
  • Title

    Migration based SAR imaging for ground penetrating radar systems

  • Author

    Gu, K. ; Wang, G. ; Li, J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • Volume
    151
  • Issue
    5
  • fYear
    2004
  • Firstpage
    317
  • Lastpage
    325
  • Abstract
    The authors consider migration based synthetic aperture radar (SAR) imaging of surface or shallowly buried objects using both down-looking and forward-looking ground penetrating radar (GPR). The well known migration approaches devised to image the interior of the Earth are based on wave equations and have been widely and successfully used in seismic signal processing for oil exploration for decades. They have the potential to image underground objects buried in complicated propagation media. Compared to ray-tracing based SAR imaging methods, migration based SAR imaging approaches are more suited to imaging underground objects owing to their simple and direct treatment of oblique incidence at the air-ground interface and propagation velocity variation in the soil. The authors apply the phase-shift migration approach to both constant-offset and common-shot experimental data collected by PSI GPR systems. They address the spatial aliasing problems related to the application of migration to the GPR data and the spatial zero-padding approach to circumvent the problem successfully.
  • Keywords
    buried object detection; ground penetrating radar; radar detection; radar imaging; synthetic aperture radar; Earth interior; SAR imaging migration; air-ground interface; down-looking-forward-looking ground penetrating radar; image underground buried object; oblique incidence; oil exploration; phase-shift migration; propagation media; propagation velocity soil variation; seismic signal processing; spatial aliasing problem; spatial zero-padding approach; surface shallowly buried object; synthetic aperture radar imaging; wave equation;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:20040973
  • Filename
    1356825