A Framework for Evaluating Underwater Mine Detection and Classification Algorithms Using Augmented Reality
نویسندگان
چکیده
This paper presents a novel framework for evaluating Target Detection and Classification algorithms and concepts of operations based on Augmented Reality (AR). Real sonar images and synthetic target models are used to generate a ground-truthed AR theatre of operation. The detection/classification results of the human operator or Automatic Target Recognition (ATR) algorithm to be evaluated are then compared to the mission ground-truth to obtain realistic performance measures. A separate seabed classification module permits to analyze these performance measures in terms of seabed texture complexity and clutter density. This approach permits the evaluation of Detection and Classification algorithms in a large variety of scenarios. The overall system is presented and evaluation on real data demonstrated.
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