Multi-Sensor Detection of Obscured and Buried Objects

Abstract

The subject research was performed at the University of Florida between the primary contract dates of Fall 2008 and Summer 2013, with an extension through Spring 2014. The research was performed to support the ability to detect landmines and such subsurface objects by a variety of sensors and platforms employed in systems being studied by NVESD.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 2014
Accession Number
ADA622760

Entities

People

  • Brandon Smock
  • Jeremy Bolton

Organizations

  • University of Florida

Tags

Communities of Interest

  • Counter IED
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Data Sets
  • Detection
  • Detectors
  • False Alarms
  • Hidden Markov Models
  • Land Mines
  • Machine Learning
  • Markov Models
  • Neural Networks
  • Pattern Recognition
  • Probabilistic Models
  • Probability
  • Sensor Fusion
  • Students
  • Three Dimensional
  • Warning Systems

Readers

  • Sensor Fusion and Tracking Systems.
  • Technical Research and Report Writing.