Feature Extraction and Classification of Magnetic and EMI Data, Camp Beale, CA

Abstract

The demonstration described in this report was conducted at the Former Camp Beale, California, under project ESTCP MR-201004 "Practical Strategies for UXO Discrimination." It was performed under the umbrella of the ESTCP Live-Site Classification Study Program. The objective of the MR-201004 project is to demonstrate the application of feature extraction and statistical classification to the problem of UXO discrimination. At the Camp Beale site, the objective was to discriminate targets of interest (TOI) (including 37 mm, 60 mm, 81 mm targets, 105 mm and a small industry standard object (ISO)) from nonhazardous shrapnel, range and cultural debris. A number of fuses and fuse parts that were initially considered as a possible TOI was later found to be non-TOI, and labeled as clutter. In this report, we describe the performance of classification techniques that utilized full coverage, dynamically acquired, survey data acquired with a Geonics EM61 cart and static, cued interrogation style data acquired with advanced electromagnetic induction (EMI) sensors. Analysts from Sky Research and UBC-GIF processed (1) MetalMapper data acquired in a portion of the site amenable to vehicular towed systems (i.e. the "Open Area"), and (2) man portable sensor data collected by the TEMTADS 2x2, BUD, and MPV in a treed section of the site (i.e. the "Portable Area"). A small overlap of the Open and Portable Area allowed for a direct comparison of the MetalMapper and portable EMI sensors.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2012
Accession Number
ADA569666

Entities

People

  • Leonard Pasion

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Coordinate Systems
  • Data Analysis
  • Data Mining
  • Detection
  • Detectors
  • Dimensionality Reduction
  • Electromagnetic Induction
  • Electromagnetic Induction Sensors
  • Explosives
  • Feature Extraction
  • Information Science
  • Kernel Functions
  • Machine Learning
  • Supervised Machine Learning
  • Unexploded Ammunition
  • Uxo Detection

Readers

  • Computer Vision.
  • Military/Explosive Ordnance Disposal (EOD) Technology

Technology Areas

  • AI & ML