• DocumentCode
    2682460
  • Title

    An improved linear sampling method for location and shape reconstruction of 3D buried targets

  • Author

    Catapano, Ilaria ; Crocco, Lorenzo ; Isernia, Tommaso

  • Author_Institution
    Nat. Council of Res. (IREA-CNR), Naples
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    4810
  • Lastpage
    4813
  • Abstract
    This paper deals with the problem of reconstructing the geometrical features of 3D targets embedded in a lossy medium. Referring to the Linear Sampling Method, which is attractive due to its computational efficiency, we propose an improved formulation of it, which is able to provide an effective reconstruction of the deeper part of the investigated region. Moreover, the frequency diversity is exploited to obtain accurate shape reconstructions when the transmitting and receiving antennas are located on a narrow grid and a single- polarization of the scattered field is measured.
  • Keywords
    buried object detection; electromagnetic wave scattering; feature extraction; geophysical signal processing; geophysical techniques; image reconstruction; signal sampling; 3D buried target; electromagnetic inverse scattering; frequency diversity; geometrical feature; linear sampling method; lossy medium; receiving antennas; scattered field polarization measurement; shape reconstruction; target location; transmitting antennas; Antenna measurements; Computational efficiency; Frequency diversity; Frequency measurement; Polarization; Receiving antennas; Sampling methods; Scattering; Shape measurement; Transmitting antennas; Electromagnetic Inverse Scattering; Linear Sampling Method; Shape Reconstruction; Subsurface Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423937
  • Filename
    4423937