• DocumentCode
    326691
  • Title

    Radar imaging of buried objects

  • Author

    Tjuatja, Saibun ; Fung, Adrian K. ; Bredow, Jonathan W.

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    524
  • Abstract
    Radar detection and identification of buried objects such as landmines relies on the wave scattering characteristics of the object and signal processing techniques. The effects of soil and object parameters on microwave imaging are investigated based on Finite-Difference Time-Domain (FD-TD) simulation and laboratory studies. Range of soil permittivity considered is from 2.6 to 7.6 corresponding to dry soil and a volumetric soil moisture of 16%. Both plastic and metallic objects are imaged. The diameter of the objects considered ranges from 9 cm to 15 cm and their height ranges from 3 cm to 5 cm. The simulation and laboratory measurement results are processed using the conventional inverse synthetic aperture radar (TSAR) imaging. It is found that when an object diameter is larger than a wavelength, its image is discernible and becomes clearer when its diameter exceeds two wavelength. It is also found that a plastic object with a dielectric constant of 3.9 embedded in a dry soil medium with a dielectric constant of 2.6 can generate an image with the correct geometric shape
  • Keywords
    finite difference time-domain analysis; microwave imaging; object detection; object recognition; radar detection; radar imaging; remote sensing by radar; synthetic aperture radar; weapons; 3 to 5 cm; 9 to 15 cm; FDTD simulation; buried objects; dry soil; inverse synthetic aperture radar; landmines; metallic objects; microwave imaging; object identification; plastic objects; radar detection; radar imaging; signal processing; soil permittivity; truncation condition; volumetric soil moisture; wave scattering characteristics; window function; Buried object detection; Dielectric constant; Laboratories; Landmine detection; Plastics; Radar detection; Radar imaging; Radar scattering; Radar signal processing; Soil;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.702959
  • Filename
    702959