Information Fusion of Standoff and Other Information for Biodefense Decision Support

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 battlespa...

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Bibliographic Details
Main Authors: Braun, Jerome J, Hess, Austin, Glina, Yan, Wack, Edward C, Bergen, Karianne, Dasey, Timothy J, Mays, Robert M, Strawbridge, John
Format: Report
Language:English
Subjects:
Active & Passive Radar Detection & Equipment
BIOLOGICAL AGENT DETECTORS
Biomedical Instrumentation and Bioengineering
Chemical, Biological and Radiological Warfare
DATA FUSION
DECISION SUPPORT SYSTEMS
DETECTORS
FALSE ALARMS
INFORMATION PROCESSING
Information Science
Miscellaneous Detection and Detectors
OPTICAL RADAR
SENSOR FUSION
STANDOFF
STC(SPATIOTEMPORAL COHERENCE)
SURFACE TRUTH
Weapons Effects(biological)
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Summary: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.