New techniques for predicting hostile and natural threats in space is the goal of Space Fusion, Assessment and Characterization for Thread Prediction (Space FACT), by the Air Force Research Laboratory (AFRL).
“The objective is to deliver automated capabilities for situational awareness, threat anticipation and timely recognition of evolving space events,” said the AFRL announcement.
“This is being accomplished through the monitoring of command and control events, movement and characterization of space objects, and reasoning over all such events to hypothesize future actions.”
AFRL envisions combining hard and soft data such as text extraction and semantic web capabilities married with advanced pattern learning and reasoning, anomaly detection and characterization, and correlating current activities and past activities. The Air Force also wants to fuse data from radars and other sensors, as well as signals, human, imaging and open source intelligence, and the orbital catalog of space objects.