• DocumentCode
    1207023
  • Title

    Through-the-Wall SAR Attributed Scattering Center Feature Estimation

  • Author

    Ertin, Emre ; Moses, Randolph L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
  • Volume
    47
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    1338
  • Lastpage
    1348
  • Abstract
    We consider characterization of building interior structure from two-pass interferometric circular synthetic aperture radar data. We model returns from complex building structures as the sum of the responses from scattering primitives-plates, dihedrals, and trihedrals-observed through transfer functions that characterize both the transmission through and reflection from dielectric surfaces. Maximum-likelihood estimates for the location of primitive features and wall propagation/reflection parameters are obtained through a two-stage detection-and-estimation algorithm. We employ a sparse reconstruction algorithm to detect primitive signatures in the presence of wall effects and refine our estimates using a nonlinear minimization of local cost functions. We show that using simplified wall and primitive models, we can extract geometrically relevant features which can be combined to reveal 3-D floorplan estimates of buildings. Examples illustrate the effectiveness of the feature extraction approach.
  • Keywords
    electromagnetic wave propagation; electromagnetic wave reflection; electromagnetic wave scattering; feature extraction; maximum likelihood estimation; radar imaging; synthetic aperture radar; transfer functions; 3D floorplan estimation; feature extraction approach; maximum-likelihood estimation; nonlinear minimization; radar imaging; reflection parameters; scattering center feature estimation; sparse reconstruction algorithm; transfer functions; two-pass interferometric circular synthetic aperture radar data; two-stage detection-and-estimation algorithm; wall propagation; Buildings; feature extraction; maximum-likelihood (ML) estimation; radar imaging; radar signal processing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.2008999
  • Filename
    4806073