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Proceedings Paper

Visualization of multi-INT fusion data using Java Viewer (JVIEW)
Author(s): Erik Blasch; Alex Aved; James Nagy; Stephen Scott
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Paper Abstract

Visualization is important for multi-intelligence fusion and we demonstrate issues for presenting physics-derived (i.e., hard) and human-derived (i.e., soft) fusion results. Physics-derived solutions (e.g., imagery) typically involve sensor measurements that are objective, while human-derived (e.g., text) typically involve language processing. Both results can be geographically displayed for user-machine fusion. Attributes of an effective and efficient display are not well understood, so we demonstrate issues and results for filtering, correlation, and association of data for users - be they operators or analysts. Operators require near-real time solutions while analysts have the opportunities of non-real time solutions for forensic analysis. In a use case, we demonstrate examples using the JVIEW concept that has been applied to piloting, space situation awareness, and cyber analysis. Using the open-source JVIEW software, we showcase a big data solution for multi-intelligence fusion application for context-enhanced information fusion.

Paper Details

Date Published: 28 May 2014
PDF: 10 pages
Proc. SPIE 9122, Next-Generation Analyst II, 912209 (28 May 2014); doi: 10.1117/12.2050252
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Alex Aved, Air Force Research Lab. (United States)
James Nagy, Air Force Research Lab. (United States)
Stephen Scott, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 9122:
Next-Generation Analyst II
Barbara D. Broome; David L. Hall; James Llinas, Editor(s)

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