OPTICAL CORRELATION FILTER FUSION FOR OBJECT DETECTION

We consider the detection of candidate objects (regions of interest) i n a scene containing high clutter, multiple objects in different class es, independent of aspect view. with hot, cold, bimodal, and partial o bject variations and with high and low contrast targets. We use three different filters with each designed to produce high probability of de tection (P(D)). We fuse the results from different outputs to reduce t he probability of false alarms (P(FA)). All filters are realizable on an optical correlator.