P2.11 Trusted AI Frameworks for Change and Anomaly Detection in Observed ISR
Advanced Satellite Systems, Sensors & Intelligence
David Shorten, The University of Adelaide
This project seeks to automate the identification of higher order patterns in ISR (Intelligence, Surveillance and Reconnaissance) sensed detections along with establishing normalcy. The intention is for significant changes from normalcy – anomalies – to be reported to operators as alerts requiring human assessment, decision, and action. In addition, the rationale of the alerts will also be computed and presented in a transparent way to instil user confidence in the results.