Analyzing networks of static and dynamic geospatial entities for urban situational awareness

Delsey Sherrill; Michael Yee; Peter Cho

doi:10.1117/12.818174

30 April 2009 Analyzing networks of static and dynamic geospatial entities for urban situational awareness

Delsey Sherrill, Michael Yee, Peter Cho

Proceedings Volume 7346, Visual Analytics for Homeland Defense and Security; 734605 (2009) https://doi.org/10.1117/12.818174
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Motivated by the problem of uncovering networks of illicit actors in complex urban environments, we present a prototype system for intuitive navigation of vehicle track data via interacting map and network views. Our system combines 3D geospatial visualization, social network display and interactive track search software, and it provides a multi-touch interface for operators to navigate urban scenes and investigate potentially suspicious vehicle activity. We describe a case study to highlight the system's capabilities using ground truth vehicle data collected during a 2007 urban exercise. This data is most naturally viewed as tracks in space and time. But as cluttered track displays obscure potentially important actor relationships, our system provides a social network picture whose condensed format is easier to interpret. Through coordinated space-time/vehicle network searches, we demonstrate how analysts can uncover "Red" activities of tactical significance.

Citation Download Citation

Delsey Sherrill, Michael Yee, and Peter Cho "Analyzing networks of static and dynamic geospatial entities for urban situational awareness", Proc. SPIE 7346, Visual Analytics for Homeland Defense and Security, 734605 (30 April 2009); https://doi.org/10.1117/12.818174

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