Seeking to reduce labor-intensive analysis of ISR sensor data, the Air Force Research Laboratory has set up the Enhanced Exploitation and Analysis Tools (E2AT) project. AFRL’s Activity Based Analysis Branch, part of the lab’s Information Directorate, is seeking solutions for better exploitation of full-motion video and multi-intelligence data association (MIDA), with an emphasis on overcoming anticipated anti-access/area-denial conditions.
“Current analysis techniques are limited in that they demand the full attention of at least two intelligence analysts tasked to watching video, calling out observations, and transcribing content,” notes the AFRL announcement. “The E2AT challenge will be to move beyond this inefficient transcription model toward an effective automated capability.”
Desired capabilities include target tracking and identification, dynamic information annotation, and high-level information fusion from all-source intelligence. The Air Force also hopes to develop algorithms that will spot anomalies in imagery intelligence that will indicate suspicious behavior.