Paper
17 May 2016 Issues and challenges of the applications of context to enhance information fusion: panel summary
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Blasch, Ivan Kadar, Chee Chong, Alan Steinberg, Ronald P. S. Mahler, Shanchieh Jay Yang, Laurie H. Fenstermacher, Alex L. Chan, and Paul Tandy "Issues and challenges of the applications of context to enhance information fusion: panel summary", Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420L (17 May 2016); https://doi.org/10.1117/12.2224029
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KEYWORDS
Data modeling

Data fusion

Sensors

Information fusion

Image fusion

Analytical research

Process modeling

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