• DocumentCode
    325178
  • Title

    Analysis of magnetometer and EMI data for the MTADS program

  • Author

    Nelson, H.H. ; McDonald, J.R.

  • Author_Institution
    Naval Res. Lab., Washington, DC, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    241
  • Abstract
    The multisensor towed array detection system (MTADS) provides the capability for rapid, efficient detection of buried unexploded ordnance (UXO). The system consists of two arrays of sensors, total-field magnetometers and time-domain, pulsed-induction sensors, coupled to an extremely precise GPS location system Data collected in the field are transferred to a workstation-based data analysis system for analysis. Anomalies are selected interactively by an operator and fit to a physics-based model. The MTADS has been demonstrated at several prepared rest ranges and two live sites. In all cases, probabilities of detection of greater than 95% have been achieved. The outstanding research issues in this program involve discrimination between UXO and fragments and scrap. Up to two thirds of the costs of a remediation effort result from digging holes that do not contain UXO. Even small improvements in classification ability will lead to large savings in real world operations
  • Keywords
    Global Positioning System; data analysis; electromagnetic induction; magnetometers; military computing; object detection; EMI data; GPS location system; MTADS program; UXO; anomalies; buried unexploded ordnance detection; magnetometer data; multisensor towed array detection system; remediation effort; sensor arrays; time-domain pulsed-induction sensors; total-field magnetometers; workstation-based data analysis system; Couplings; Data analysis; Electromagnetic interference; Global Positioning System; Magnetic analysis; Magnetic sensors; Magnetometers; Sensor arrays; Sensor systems; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-4863-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1998.687491
  • Filename
    687491