Exploitation of Large-Format (ELF) Electro-Optic (EO) Data

Large Format Electro-Optical video data, available from sensors such as Angel Fire, provides a unique capability to see a wide area at sufficient resolution to see small objects such as vehicles. Currently, Angel Fire allows users to see their region of interest in near real-time. However, there is not currently a good way to tie this impressive capability to the next layer of sensing. Without an automated ability to cue other sensors, time consuming steps must be taken by users. This limits the utility of the LF data. SET has chosen to pursue the integration of video from ground-based cameras with the synoptic imagery provided by persistent sensors such as Angel Fire. This topic has enormous potential to dramatically increase our knowledge of the identity and movement of vehicles of interest, by overcoming the limitations of both classes of sensors when used alone. Many ground cameras are currently deployed in theater. Knowledge of the locations and fields of view (FOV) of the ground cameras allows the system to cue them to watch for a vehicle at a particular time and location. High resolution, color video, at highly discriminatory viewing angles can then be used for classification, and precise identification.