IMAGE PROCESSING FOR CONICAL SCAN IE SEEKERS

SIGNIFICANT DEVELOPMENTS HAVE BEEN MADE IN IMAGE PROCESSING FOR OPTICALLY SCARMED SCENES. IMAGE PROCESSING METHODS HAVE BEEN DEVELOPED FOR IDENTIFYING AND TRACKING OBJECTS IN THE PRESENCE OF NOISE AND STRUCTURED BACKGROUND. MOST OF THIS PROCESSING IS DESIGNED FOR SYSTEMS WHICH PRODUCE AN IMAGE BASED ON RASTER SCAN TECHNOLOGY. THE PURPOSE OF THIS PROJECT IS TO DEMONSTRATE THE FEASIBILITY OF APPLYING MODERN IMAGE PROCESSING TECHNIQUES TO THE DATA FROM CONICALLY SCANNED, MULTIPLE DETECTOR ARRAYS. THIS EFFORT WILL BE BASED ON THE USE OF SIMULATION TOOLS WHICH PROVIDE A SIMULATED ARRAY DATA STREAM FOR VARIOUS TARGETS, BACKGROUNDS, AND COUNTE MEASURES. SEVERAL NON-LINEAR IMAGE PROCESSING TECHNIQUES WILL BE EVALUATED IN THE CLOSED-LOOP SIMULATION.