The approach introduces a methodology to identify under-represented visual characteristics in a training dataset to guide a data generation platform. The enhanced training dataset is utilized to feed a sonar adapted ATR model that reduces data requirements by biases the model towards visual characteristics common to sonar imagery. With reduced training data requirements, improved model performance and real-time processing speeds, SALMON will support the warfighter’s capability to rapidly deploy MCM ATR models in dynamic field circumstances.