Empirically generated metric spaces for ATR in clutter

One of the central problems in automated target recognition is to accommodate the infinite variety of clutter in real military environments. Our principle focus is to construct a metric space where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated using second-order random field models.