• DocumentCode
    1499663
  • Title

    Model-based characterization of electromagnetic induction signatures obtained with the MTADS electromagnetic array

  • Author

    Barrow, Bruce ; Nelson, H.H.

  • Author_Institution
    AETC Inc., Arlington, VA, USA
  • Volume
    39
  • Issue
    6
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    1279
  • Lastpage
    1285
  • Abstract
    A sensor response model based on empirically determined orthogonal response coefficients β is presented for the analysis of electromagnetic induction (EMI) sensor data. The model is applied to high-quality survey data from the multi-sensor towed array detection system (MTADS) program. Data from both a prepared test range and a live-site survey are analyzed. At the test field, the authors show that the model successfully reproduces the measured signatures of ordnance, ordnance simulants, flat plates, and clutter. At the live site, fit statistics were collected showing that for the most abundant ordnance target, 81-mm mortars, the three beta response parameters are distributed log-normally. This allows for a simple method of discrimination. A receiver operating characteristic (ROC) analysis based on this discrimination method is performed and the results discussed
  • Keywords
    buried object detection; electromagnetic induction; geophysical techniques; military systems; terrain mapping; terrestrial electricity; EM induction; MTADS; buried object detection; clutter; electromagnetic array; electromagnetic induction signature; flat plate; land surface; landmine; military system; mine detection; model-based characterization; mortar; multi-sensor towed array detection system; orthogonal response coefficients; receiver operating characteristic; sensor response model; terrain mapping; unexploded ordnance; Electromagnetic analysis; Electromagnetic induction; Electromagnetic interference; Electromagnetic measurements; Electromagnetic modeling; Mortar; Performance analysis; Sensor phenomena and characterization; Statistical distributions; Testing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.927450
  • Filename
    927450