Neural network classifiers in target detection

The focus of this paper is on the classifier module for a real-time automatic target recognition system. It is a dynamic neural network that utilizes adaptive, on-line learning. The on-line learning component is required because of the changeability of the target detection scenario resulting in unpredictable feature space representation of targets and clutter. The system was successfully tested against IR imagery of target models.