Context Independent Anomaly Detection for Enhanced Decision Making

The contractor shall design and implement a context independent anomaly detection (CIAD) application to provide enhanced situational awareness using intelligence, surveillance, and reconnaissance (ISR) sensors. The CIAD will provide an automated mechanism for analyzing vast amounts of data generated by today's ISR systems for the purposes of isolating anomalies that identify threats. Asymmetric threats pose a particular concern because the analyst may not have any predetermined search criteria available to effectively review the vast quantities of data in order to isolate the data related to the threat. The techniques developed and implemented by this effort will enable the ISR analyst to rapidly search significant volumes of ISR data and isolate anomalies to be evaluated as threats without having any pre-existing knowledge about the threats. The application will be capable of running in real-time on a diverse set of sensor data. The system will be first operationally tested with the JUMPS program and will be used to create data products that are applicable for the DCGS-A analyst. Other operating areas to be investigated for implementation include: Enhanced Medium Altitude Reconnaissance and Surveillance System (EMARSS); the Harbor Master Command and Control Centers (HCCC); and Air Marine Operations Center (AMOC) operated by DHS.