Network-Centric Urban Vigilance

Air Force needs relatively low cost, real-time, and automated systems to continuously track, tag, and locate (TTL) dismounts and vehicles by employing multiple layers of surveillance and reconnaissance sensors operating in tandem at macro and close-in levels. In this proposal Gitam Technologies, Inc. (GTI) in collaboration with Prof. John Kerekes at Rochester Institute Technology (RIT) propose coordinated and queued sensing using Airborne and ground-based hyperspectral, EO and IR sensors for 24/7 monitoring and detection of ground objects. GTI’s hyperspectral detect/ID/Track expertise joins forces with RIT researchers and leverage their ongoing hyperspectral and EO/IR airborne sensing, vehicle tracking and sensor modeling research. Both archived imagery and possible new collections will provide data for algorithm development and testing under this proposed research. In addition, DIRSIG simulated imagery will be used to provide test data with precisely known truth. The real and synthetic data sets include urban scenarios with specific vehicles in known truth locations and their movement tracked between images. Complementary high resolution EO imagery will be used in conjunction with lower resolution hyperspectral imagery to develop and test cueing concepts. Empirical analyses will also be further extended through use of the FASSP analytical modeling tool.