Real Time Automated Multi-Sensor Target Classification Algorithm

This research develops an algorithm capable of reliable target classification for a wide range of targets, including, but not limited to, Rockets, Artillery and Mortars (RAM); Unmanned Aerial Vehicles (UAVs); and cruise missiles. For defensive High Energy Laser (HEL) missions, the engagement timeline can be very short. Thus, it is highly desirable to have a robust target classification system that, at the very least, can provide additional information to the operator. It has been established that reliable classification cannot be accomplished using only state information such as target velocity and acceleration. However, modern HEL systems have multiple imaging sensors, and a laser range finder in addition to radar queuing information. This suite of sensors provides a wealth of information about the target that when combined together, can help with identification and classification of targets. This effort includes the development of tools to test and evaluate the efficacy of the algorithm.