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Proceedings Paper

Issues and challenges of the applications of context to enhance information fusion: panel summary
Author(s): Erik Blasch; Ivan Kadar; Chee Chong; Alan Steinberg; Ronald P. S. Mahler; Shanchieh Jay Yang; Laurie H. Fenstermacher; Alex L. Chan; Paul Tandy
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Paper Abstract

During the 2015 SPIE DSS conference, nine panelists were invited to highlight the trends and use of context for information fusion. This paper highlights the common issues and trends presented from the panel discussion. The different panelists highlighted methods of filtering methods, data aggregation, and the importance of context for realtime analytics. Using the panelist perspectives, the review organizes the common issues and themes as well areas of future analysis of content and context enrichment from information fusion.

Paper Details

Date Published: 17 May 2016
PDF: 21 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420L (17 May 2016); doi: 10.1117/12.2224029
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Ivan Kadar, Interlink Systems Sciences, Inc. (United States)
Chee Chong, Consultant (United States)
Alan Steinberg, Consultant (United States)
Ronald P. S. Mahler, Random Sets, LLC (United States)
Shanchieh Jay Yang, Rochester Institute of Technology (United States)
Laurie H. Fenstermacher, Air Force Research Lab. (United States)
Alex L. Chan, U.S. Army Research Lab. (United States)
Paul Tandy, Defense Threat Reduction Agency (United States)

Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

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