Information Fusion of Standoff and Other Information for Biodefense Decision Support

Abstract

This paper discusses selected aspects of an MIT Lincoln Laboratory effort developing information fusion techniques for biodefense decision-support tasks, involving biological standoff (lidar - light detection and ranging) sensors, meteorology, as well as point sensors and potentially other battlespace sensing and contextual information. The Spatiotemporal Coherence (STC) fusion approach developed in this effort combines phenomenology aspects with approximate uncertainty measures to quantify corroboration between the information elements. The results indicate that STC can significantly reduce false alarm rates. Meandering Plume and Background Simulation is one of two techniques developed for ground-truth data generation. Beyond the detection realm, developed techniques include information-fusion based plume mapping and propagation prediction.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA524012

Entities

People

  • Austin Hess
  • Edward C. Wack
  • Jerome J. Braun
  • John Strawbridge
  • Karianne Bergen
  • Robert M. Mays
  • Timothy J. Dasey
  • Yan Glina

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Biodefense
  • Computational Fluid Dynamics
  • Decision Support Systems
  • Delphi Method
  • Demographic Cohorts
  • Detection
  • Detectors
  • False Alarms
  • Machine Learning
  • Measurement
  • Meteorology
  • Simulations
  • Standoff
  • Supervised Machine Learning
  • Uncertainty
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Radar Systems Engineering.