Automatic Target Recognition (ATR) in Complex Underwater Environments

To address the challenges automatic target recognition (ATR) algorithms face when operating in complex environments and meet the Navy need to perform mine countermeasures (MCM) operations against known and novel targets in complex and often novel littoral environments ARiA will develop and demonstrate the feasibility of Domain-Adaptive Multiple-Sensor Online Learning (DAMSOL). The Phase I effort will (1) develop a concept to facilitate target identification in complex underwater environments using acoustic, optical, and magnetic sensors, (2) demonstrate that the concept meets performance requirements, (3) establish feasibility through testing and analytical modeling and (4) develop a Phase II plan for DAMSOL including an initial design specification and capabilities description to guide development of the prototype solution.