Paper
2 September 2010 Information fusion of standoff and other information for biodefense decision support
Jerome J. Braun, Austin Hess, Yan Glina, Edward C. Wack, Karianne Bergen, Timothy J. Dasey, Robert M. Mays, John Strawbridge
Author Affiliations +
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.
© (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 "Information fusion of standoff and other information for biodefense decision support", Proc. SPIE 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 76650C (2 September 2010); https://doi.org/10.1117/12.852817
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Associative arrays

Information fusion

Data modeling

Atmospheric modeling

Biodefense

Algorithm development

Back to Top