• DocumentCode
    1301705
  • Title

    Radar-diffraction tomography using the modified quasi-linear approximation

  • Author

    Zhou, Chaoguang ; Liu, Lanbo

  • Author_Institution
    Connecticut Univ., Storrs, CT, USA
  • Volume
    38
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    404
  • Lastpage
    415
  • Abstract
    The authors propose a new approach for solving the scattering problem for tomographic imaging based on the modified quasi-linear approximation (MQLA). Rather than using the incident field to approximate the total field inside the scatterer as the Born approximation (BA) does, the authors utilize the incident field plus a secondary field that equals the incident field multiplied by a scattering coefficient, which is referred to as the quasi-linear approximation (QLA). Generally, this coefficient is source dependent and hence, this approximation cannot be used to solve mutiple-source problems. By invoking the localized approximation, they derive a source-independent scattering coefficient and then obtain the modified quasi-linear approximation (MQLA). Based on this approximation, they developed a new diffraction-tomography algorithm and applied it to crosshole radar tomography. This approach is rapid, since iteration techniques are not involved in the algorithm. Numerical simulations indicate that this tomography algorithm can reconstruct images with better imaging quality than the conventional BA algorithm
  • Keywords
    geophysical prospecting; geophysical techniques; radar; radar applications; terrestrial electricity; Born approximation; borehole method; cross hole method; crosshole radar tomography; diffraction-tomography algorithm; geoelectric method; geology; geophysical measurement technique; localized approximation; modified quasilinear approximation; prospecting; quasi-linear approximation; radar-diffraction tomography; scattering problem; source-independent scattering coefficient; terrestrial electricity; tomographic imaging; Acoustic scattering; Approximation algorithms; Approximation methods; Diffraction; Electromagnetic scattering; Iterative algorithms; Numerical simulation; Radar imaging; Radar scattering; Tomography;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.823936
  • Filename
    823936