Visualization of multi-INT fusion data using Java Viewer (JVIEW)

Erik Blasch; Alex Aved; James Nagy; Stephen Scott

doi:10.1117/12.2050252

28 May 2014 Visualization of multi-INT fusion data using Java Viewer (JVIEW)

Erik Blasch, Alex Aved, James Nagy, Stephen Scott

Proceedings Volume 9122, Next-Generation Analyst II; 912209 (2014) https://doi.org/10.1117/12.2050252
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Erik Blasch, Alex Aved, James Nagy, and Stephen Scott "Visualization of multi-INT fusion data using Java Viewer (JVIEW)", Proc. SPIE 9122, Next-Generation Analyst II, 912209 (28 May 2014); https://doi.org/10.1117/12.2050252

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