• DocumentCode
    3427975
  • Title

    Parametric reconstruction of internal building structures via canonical scattering mechanisms

  • Author

    Subotic, Nikola ; Keydel, Eric ; Burns, Joseph ; Morgan, Andrew ; Cooper, Kyle ; Thelen, Brian ; Wilson, Brian ; Williams, Wayne ; McCarty, Sean ; Lampe, Bernard ; Mosher, Bryan ; Setterdahl, Duane

  • Author_Institution
    Michigan Tech Res. Inst., Ann Arbor, MI
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    5189
  • Lastpage
    5192
  • Abstract
    In this paper, we describe a model-based, non-linear reconstruction method for mapping internal building structures using through-wall radar data. We based the model on canonical geometry constructs that are commonly used in construction practices. These constructs are then formulated as sets of simple scattering mechanisms, which can be estimated from the data. Our non-linear approach employs an iterative, conditional estimation method as a function of the intervening structures between the sensor and the object under consideration. Specific associations of scattering mechanisms are then used to re-create various building structures such as walls, doors, stairs, etc. We discuss some examples of estimating specific scattering mechanisms and a model-based reasoning approach for assembling them to reconstruct the interior structure of a building.
  • Keywords
    building; electromagnetic wave scattering; iterative methods; parameter estimation; structural engineering computing; canonical scattering; conditional parameter estimation; internal building structures; iterative estimation; model-based reconstruction; nonlinear reconstruction; parametric reconstruction; through-wall radar data; Assembly; Backscatter; Buildings; Dielectrics; Floors; Geometry; Image reconstruction; Inference mechanisms; Radar scattering; Solid modeling; EM scattering; Through wall imaging; conditional parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518828
  • Filename
    4518828