• DocumentCode
    714851
  • Title

    A modified Stolt migration imaging algorithm for large nonuniform single borehole radar surveys

  • Author

    Haining Yang ; Na Li ; Tingjun Li ; Hongsheng Zhong ; Zhiming He ; Qing Huo Liu

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Abstract
    In this paper, the formulation of Stolt migration is modified for impulse borehole radar imaging in large nonuniform subsurface scenarios. By applying the nonuniform fast Fourier transform to the acquisition of frequency-wavenumber spectrum, the efficiency of Stolt migration for nonuniform surveys is improved. The selection of approximation parameters is discussed to make a tradeoff between approximation error and computational cost. The improved Stolt migration technique is compared with conventional back projection method and Kirchhoff migration method on synthetic data and validated by single borehole radar experiment in subsurface scenario. The results show that the developed Stolt migration is superior to the conventional methods in cross-range resolution, computational cost, and the ability to reconstruct locations and shapes of targets.
  • Keywords
    approximation theory; drilling (geotechnical); fast Fourier transforms; image reconstruction; radar imaging; approximation error; approximation parameter selection; computational cost; cross-range resolution; frequency-wavenumber spectrum acquisition; impulse borehole radar imaging; large nonuniform single borehole radar surveys; large nonuniform subsurface scenarios; modified Stolt migration imaging algorithm; nonuniform fast Fourier transform; target location reconstruction; target shape reconstruction; Approximation error; Computational efficiency; Imaging; Manganese; Radar imaging; Stolt migration; borehole radar; nonuniform fast Fourier transform; radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131039
  • Filename
    7131039