Detection and Discrimination in One Pass Using the OPTEMA Towed Array

Abstract

The primary objective of this demonstration was to assess the feasibility of acquiring classification quality data during dynamic Electromagnetic Induction (EMI) surveys of Munitions Response Sites (MRS). The process of obtaining both detection and classification data during a single dynamic survey is known as the one-pass or dynamic classification method of data collection. By demonstrating the dynamic classification methodology using the One Pass Time-domain EMI Array (OPTEMA) to survey areas of the Former Southwestern Proving Ground(SWPG), we acquired a data set that allowed us to quantify the detection and classification performance enabled by this methodology with performance metrics (e.g., probability of detection, probability of false alarm, etc.) corresponding to a standard set of targets of interest. The intent of this demonstration was to determine if the dynamic classification approach can enable detection and classification performance comparable to that of the existing set of cued classification sensors.

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Document Details

Document Type
Technical Report
Publication Date
Feb 21, 2017
Accession Number
AD1036289

Entities

People

  • Fridon Shubitidze
  • Jonathan Miller

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Classification
  • Data Acquisition
  • Data Analysis
  • Detection
  • Detectors
  • Digital Data
  • Electromagnetic Induction
  • Munitions
  • Standards
  • Time Domain
  • Towed Arrays
  • Two Dimensional
  • Unexploded Ammunition
  • United States
  • Uxo Detection
  • Warning Systems

Readers

  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Systems Analysis and Design