Adaptive Desktop Trainer

Developing an adaptive desktop trainer to effectively train imagery analysts is crucial for executing precise intelligence, surveillance, and reconnaissance (ISR) missions that rely heavily on the exploitation of full motion video (FMV). Typical training environments for aerial platforms include using low fidelity simulated FMV data, archived FMV data taken from prior missions, or live, small scale experiments with aircraft flown in representative environments with threat actors. Often, such training measures are cost prohibitive and require heavy logistics for execution and assessing analyst performance. Toyon Research Corporation proposes a compact Desktop Trainer that incorporates video containing ground truth information, sophisticated ISR algorithms to aid analysts, an advanced learning management system (LMS), geographic information system (GIS) environment modeling for incorporating context evidence, and adaptive training material for an innovative approach to training Imagery Analysts. Toyon"s Desktop Trainer will be designed to incorporate evolving mission concepts of operation (CONOPS), as well as analyst collaboration and wide-scale ISR missions. Imagery Analyst performance will be validated using a Training Scorecard tool that incorporates lessons learned from the training regimen.