• DocumentCode
    1154610
  • Title

    Reconstruction From Antenna-Transformed Radar Data Using a Time-Domain Reconstruction Method

  • Author

    Zhou, Hui ; Sato, Motoyuki ; Takenaka, Takashi ; Li, Guofa

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Nagasaki Univ.
  • Volume
    45
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    689
  • Lastpage
    696
  • Abstract
    This paper discusses the reconstruction of the subsurface from radar data using a time-domain reconstruction method. Before the reconstruction is conducted, data preprocessing is carried out. The preprocessing transforms measured data transmitted and received by 3-D dipole antennas into equivalent data excited and received by 3-D ideal electric dipoles and, then, into equivalent data excited and received by 2-D ideal electric dipoles. Distributions of permittivity, conductivity, and permeability are reconstructed from the preprocessed data by a 2-D forward-backward time-stepping waveform inverse scattering technique. Two 2-D examples of permittivity and conductivity reconstruction from synthetic noisy and field borehole radar data are demonstrated to show the effectiveness of the proposed method
  • Keywords
    electrical conductivity; ground penetrating radar; image reconstruction; permittivity; radar signal processing; remote sensing by radar; 2D forward-backward time-stepping waveform inverse scattering; 2D ideal electric dipole; 3D dipole antennas; 3D ideal electric dipole; antenna-transformed radar data; borehole radar; conductivity; data preprocessing; dipole antenna; permeability; permittivity; radar data reconstruction; subsurface detection; time-domain reconstruction method; Antenna measurements; Conductivity; Data preprocessing; Dipole antennas; Electric variables measurement; Permittivity measurement; Radar antennas; Receiving antennas; Reconstruction algorithms; Time domain analysis; Antenna transformation; borehole radar; dipole antenna; ideal electric dipole; waveform inverse scattering;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2006.888140
  • Filename
    4106073