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@ARTICLE{Lopera:59096,
      author       = {Lopera, O. and Slob, E. C. and Milisavljevic, N. and
                      Lambot, S.},
      title        = {{F}iltering {S}oil {S}urface and {A}ntenna {E}ffects {F}rom
                      {GPR} {D}ata to {E}nhance {L}andmine {D}etection},
      journal      = {IEEE transactions on geoscience and remote sensing},
      volume       = {45},
      issn         = {0196-2892},
      address      = {New York, NY},
      publisher    = {IEEE},
      reportid     = {PreJuSER-59096},
      pages        = {707 - 717},
      year         = {2007},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {The detection of antipersonnel landmines using
                      ground-penetrating radar (GPR) is particularly hindered by
                      the predominant soil surface and antenna reflections. In
                      this paper, we propose a novel approach to filter out these
                      effects from 2-D off-ground monostatic GPR data by adapting
                      and combining the radar antenna subsurface model of Lambot
                      et al. with phase-shift migration. First, the antenna
                      multiple reflections originating from the antenna itself and
                      from the interaction between the antenna and the ground are
                      removed using linear transfer functions. Second, a simulated
                      Green's function accounting for the surface reflection is
                      subtracted. The Green's function is derived from the
                      estimated soil surface dielectric permittivity using
                      full-wave inversion of the radar signal for a measurement
                      taken in a local landmine-free area. Third, off-ground
                      phase-shift migration is performed on the 2-D data to filter
                      the effect of the antenna radiation pattern. We validate the
                      approach in laboratory conditions for four differently
                      detectable landmines embedded in a sandy soil. Compared to
                      traditional background subtraction, this new filtering
                      method permits a better differentiation of the landmine and
                      estimation of its depth and geometrical properties. This is
                      particularly beneficial for the detection of landmines in
                      low-contrast conditions.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB793},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Geochemistry $\&$ Geophysics / Engineering, Electrical $\&$
                      Electronic / Remote Sensing},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000244545900017},
      doi          = {10.1109/TGRS.2006.888136},
      url          = {https://juser.fz-juelich.de/record/59096},
}