Model-Based Data Fusion and Discrimination of UXO in Magnetometry and EM Surveys

Abstract

Locating, identifying and disposing of buried UXO on the 10 million acres of contaminated lands in the continental United States is a 500 billion dollar problem. Development of new technologies with improved data analysis has been identified as a high priority triservice requirement. Using current methods, it has been shown that false alarm detections far outnumber correctly identified ordnance. The best performing technologies typically have a false alarm rate of 300-500%. The high cost of digging and siposing of targets accounts for the overwhelming portion of the costs of UXO remediation, therefore a substantial saving could be recognized if the number of false positives were reduced. Using data collected by the Naval Research Laboratory's MTADS, new software techniques are being developed to improve discrimination and reduce the false alarm rate.

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Document Details

Document Type
Technical Report
Publication Date
Dec 25, 1998
Accession Number
ADA379816

Entities

People

  • Jim R. McDonald
  • Robert Grimm

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Data Analysis
  • Data Fusion
  • Detection
  • Detectors
  • False Alarms
  • Filtration
  • Geometry
  • Image Processing
  • Magnetic Fields
  • Magnetometers
  • Military Research
  • Munitions
  • Target Detection
  • Three Dimensional
  • Two Dimensional
  • Uxo Detection
  • Warning Systems

Readers

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