Award Data

Reducing the False Alarm Rate (FAR) of Automated Target Recognition (ATR) algorithms for Synthetic Aperture Radar (SAR) imagery is crucial for Intelligence, Surveillance, Reconnaissance (ISR) and precision target engagement missions. While modern Deep Learning (DL) ATR networks have demonstrated advanced predictive capabilities and generalization for SAR imagery, they lack spatial awareness, resul ...

US military and intelligence agencies, including the NGA, have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. NGA analysts are often overwhelmed with data and spend too much time solving data problems rather than solving intelligence problems. Thus, there ...

The development of tomographic SAR imaging is arguably the next big step in the evolution of imaging radar systems. The value of a successful volumetric imaging system to the US Government is clear. While successful demonstrations of volumetric imaging capabilities from various radar platforms have been made recently, there remains significant issues regarding data acquisition, signal processing ...