Visualization of graphical information fusion results

Erik Blasch; Georgiy Levchuk; Gennady Staskevich; Dustin Burke; Alex Aved

doi:10.1117/12.2052892

20 June 2014 Visualization of graphical information fusion results

Erik Blasch, Georgiy Levchuk, Gennady Staskevich, Dustin Burke, Alex Aved

Proceedings Volume 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII; 90910L (2014) https://doi.org/10.1117/12.2052892
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Graphical fusion methods are popular to describe distributed sensor applications such as target tracking and pattern recognition. Additional graphical methods include network analysis for social, communications, and sensor management. With the growing availability of various data modalities, graphical fusion methods are widely used to combine data from multiple sensors and modalities. To better understand the usefulness of graph fusion approaches, we address visualization to increase user comprehension of multi-modal data. The paper demonstrates a use case that combines graphs from text reports and target tracks to associate events and activities of interest visualization for testing Measures of Performance (MOP) and Measures of Effectiveness (MOE). The analysis includes the presentation of the separate graphs and then graph-fusion visualization for linking network graphs for tracking and classification.

Citation Download Citation

Erik Blasch, Georgiy Levchuk, Gennady Staskevich, Dustin Burke, and Alex Aved "Visualization of graphical information fusion results", Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90910L (20 June 2014); https://doi.org/10.1117/12.2052892

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