Advanced MTADS Classification for Detection and Discrimination of UXO

Abstract

The Chemistry Division of the Naval Research Laboratory has developed the Multi-sensor Towed Array Detection System (MTADS) for the detection and classification of buried unexploded ordnance. In order to increase the discrimination ability of the system, we have developed advanced analysis algorithms for the Electromagnetic Induction (EMI) sensor data. In order to critically test the performance of these algorithms, we performed a magnetometer and two EMI surveys of a seeded, 10-acre site on the Impact Area of the Badlands Bombing Range, SD. We quantitatively compare the predictions from a baseline MTADS magnetometry analysis, an advanced EMI analysis, and a probabilistic neural net approach developed in a related SERDP program against actual remediation results. In addition, we discuss the performance the EMI system in both a low- and high-SNR environment.

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Document Details

Document Type
Technical Report
Publication Date
Jan 31, 2003
Accession Number
ADA409926

Entities

People

  • B. Barrow
  • Herbert H. Nelson
  • Jim R. McDonald
  • T. H. Bell

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Data Analysis
  • Detection
  • Detectors
  • Explosives
  • False Alarms
  • Fire Control Systems
  • Inertial Measurement Units
  • Magnetometers
  • Military Research
  • Munitions Testing
  • Ordnance Laboratories
  • Photographs
  • Projectiles
  • Test And Evaluation
  • Three Dimensional
  • Unexploded Ammunition
  • Warning Systems

Readers

  • Computational Modeling and Simulation
  • Military/Explosive Ordnance Disposal (EOD) Technology