Translator Disclaimer
23 August 2010 Approaches to information fusion with spatiotemporal aspects for standoff and other biodefense information sources
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jerome J. Braun, Austin Hess, Yan Glina, Edward C. Wack, Karianne Bergen, Timothy J. Dasey, Robert M. Mays, and John Strawbridge "Approaches to information fusion with spatiotemporal aspects for standoff and other biodefense information sources", Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 771003 (23 August 2010); https://doi.org/10.1117/12.852862
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
Back to Top