UXO Discrimination in Cases with Overlapping Signatures

Abstract

New technology, modeling, and processing methods were investigated to attack the problem of buried UXO discrimination in highly contaminated sites. Such sites features a number of scenarios that challenge established subsurface sensing and data processing approaches, in particular 1) widely dispersed small metallic clutter items; 2) screening or obscuration of larger items by distributions of smaller clutter; 3) multiple target problems, in which a number of UXO-sized objects present simultaneously in the field of view of a sensor, so that their signals overlap and are difficult to distinguish. There were attacked with ultra-wideband electromagnetic induction (EMI) and fully polarimetric ground penetrating radar (GPR) developments were pursued, both individually and together. GPR was largely immune to problems caused by smaller near-surface metallic objects but suffered signal clutter from soil heterogeneity. While less soil sensitive, EMI was substantially hindered by discrete or dispersed near surface clutter, with some apparent discrimination advantage to be had from elevating the sensor. GPR helped suppress EMI false alarms in blind tests.

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Document Details

Document Type
Technical Report
Publication Date
Mar 07, 2007
Accession Number
ADA603928

Entities

People

  • Kevin O Neill

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Detection
  • Detectors
  • Dielectric Permittivity
  • Frequency Bands
  • Geometric Forms
  • Geometry
  • Information Science
  • Magnetic Fields
  • Magnetic Materials
  • Operating Systems
  • Predictive Modeling
  • Radar
  • Supervised Machine Learning
  • Surveys
  • Three Dimensional
  • Two Dimensional

Readers

  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design