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Proceedings Paper

Approaches to information fusion with spatiotemporal aspects for standoff and other biodefense information sources
Author(s): Jerome J. Braun; Austin Hess; Yan Glina; Edward C. Wack; Karianne Bergen; Timothy J. Dasey; Robert M. Mays; John Strawbridge
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Paper Abstract

This paper discusses some of the techniques developed at MIT Lincoln Laboratory for information fusion of lidar-based biological standoff sensors, meteorology, point sensors, and potentially other information sources, for biodefense applications. The developed Spatiotemporal Coherence (STC) fusion approach includes phenomenology aspects and approximate uncertainty measures for information corroboration quantification. A supervised machine-learning approach was also developed. Computational experiments involved ground-truth data generated from measurements and by simulation techniques that were developed. The fusion results include performance measures that focus explicitly on the fusion algorithms' effectiveness. Both fusion approaches enable significant false-alarm reduction. Their respective advantages and tradeoffs are examined.

Paper Details

Date Published: 23 August 2010
PDF: 12 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 771003 (23 August 2010); doi: 10.1117/12.852862
Show Author Affiliations
Jerome J. Braun, MIT Lincoln Lab. (United States)
Austin Hess, MIT Lincoln Lab. (United States)
Yan Glina, MIT Lincoln Lab. (United States)
Edward C. Wack, MIT Lincoln Lab. (United States)
Karianne Bergen, MIT Lincoln Lab. (United States)
Timothy J. Dasey, MIT Lincoln Lab. (United States)
Robert M. Mays, JBSDS, Joint Product Manager, Biological Detection Systems (United States)
John Strawbridge, JBSDS, Joint Product Manager, Biological Detection Systems (United States)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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