Demonstration Report for the Former Lowry Bombing and Gunnery Range. Project 200504: Practical Discrimination Strategies for Application to Live Sites, Ver. 2.0

Abstract

This project is attempting to demonstrate the application of feature extraction and statistical classification to the problem of UXO discrimination. The demonstration utilized Geonics EM-61 and EM-63 data collected at two sites on the FLBGR. The objectives of the Rocket Range surveys were the discrimination of a mixed range of projectiles with minimum diameter of 37 mm from other items. The 20 mm Range Fan survey objective was to discriminate 37 mm projectiles from 20 mm projectiles and 50 caliber bullets. Discrimination results when using size-based feature vectors were comparable on both-sites. Speed of survey, ease of use and reliability make the EM-61 more suited for this mode of discrimination. The techniques could be immediately transitioned into production field use on the 20 mm Range-Fan. At the Rocket Range additional testing to verify performance against more munitions types would need to be conducted The EM-63 is better suited for a cued interrogation mode where it has the potential to constrain the time-decay properties of the polarization over a wider time-range.

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2007
Accession Number
ADA608237

Entities

People

  • David Sinex
  • Douglas Oldenburg
  • Jon Jacobson
  • Laurens Beran
  • Leonard Pasion
  • Lin P. Song
  • Nicolas Lhomme
  • Stacey Kingsbury
  • Stephen Billings

Organizations

  • Sky Research

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Ammunition Fragments
  • Composite Materials
  • Computational Science
  • Detection
  • Detectors
  • Explosive Ordnance Disposal
  • Explosives
  • Feature Extraction
  • Information Science
  • Machine Learning
  • Magnetometers
  • Pattern Recognition
  • Supervised Machine Learning
  • Three Dimensional
  • Unexploded Ammunition
  • Uxo Detection

Readers

  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Radar Systems Engineering.
  • ballistics.

Technology Areas

  • AI & ML