• DocumentCode
    35902
  • Title

    Validation of Advanced EM Models for UXO Discrimination

  • Author

    Weichman, P.B.

  • Author_Institution
    BAE Syst., Burlington, MA, USA
  • Volume
    51
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    3954
  • Lastpage
    3967
  • Abstract
    The work reported here details basic validation of our advanced physics-based electromagnetic induction forward and inverse models against data collected by the Naval Research Laboratory Time-Domain Electromagnetic Multisensor Towed Array Detection System platform. The data were collected under laboratory-type conditions using both artificial spheroidal targets and real unexploded ordnance (UXO). The artificial target models are essentially exact and enable detailed comparison of theory and data in support of measurement platform characterization and target identification. Real UXO targets cannot be treated exactly, but it is demonstrated that quantitative comparisons of the data with the spheroid models nevertheless aid in extracting key target discrimination information, such as target geometry and hollow target shell thickness.
  • Keywords
    approximation theory; electromagnetic induction; sensor arrays; sensor fusion; time-domain analysis; Naval Research Laboratory; UXO discrimination; advanced EM models; approximation algorithms; artificial target models; physics-based electromagnetic induction forward models; physics-based electromagnetic induction inverse models; target discrimination information extraction; time-domain electromagnetic multisensor towed array detection system platform; unexploded ordnance discrimination; Arrays; Current measurement; Data models; Geometry; Numerical models; Transmitters; Voltage measurement; Approximation algorithms; cost function; electromagnetic induction; electromagnetic modeling; electromagnetic propagation; geoscience and remote sensing; inductance measurement; instrumentation and measurement; pulse measurements; sensor arrays; signal processing; time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2227490
  • Filename
    6423898