Integration of Advanced Statistical Analysis Tools and Geophysical Modeling

Abstract

This report details progress on a joint project between Duke University, the University of British Columbia and Sky Research, on the development of advanced statistical signal processing and geophysical modeling tools for sensing buried unexploded ordnance (UXO). The research reported here discusses feature extraction, workflow development, and exploitation of additional knowledge about UXO (that they are rare). Further, we have performed a detailed comparison of different classification strategies, across the different components of the research team. The methods are tested throughout using measured data from actual sites, often utilizing data collected under related ESTCP projects.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2010
Accession Number
ADA575243

Entities

People

  • Douglas Oldenburg
  • Laurens Beran
  • Lawrence Carin
  • Leonard Pasion
  • Stephen Billings

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Coordinate Systems
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Dimensionality Reduction
  • False Alarms
  • Feature Extraction
  • Information Science
  • Machine Learning
  • Munitions
  • Statistical Analysis
  • Supervised Machine Learning
  • Unexploded Ammunition
  • Uxo Detection
  • Warning Systems

Readers

  • Computational Modeling and Simulation
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML