Multiresolution Processing and Image Understanding for Automatic Target Detection/Recognition/Identification.
MCDONNELL DOUGLAS AEROSPACE ST LOUIS MO
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This report summarizes activities on an ARPA University-Industry ATR Initiative contract to McDonnell Douglas Aerospace MDA, with subcontracts to the University of Maryland and Summus Ltd. The principal program objectives of this effort were 1 Improved detectionrecognitionidentification of targets in clutter, 2 Increased probability of acquisition and reduced circular error probability CEP for autonomous weapons, and 3 Fast automated reference preparation from reconnaissance imagery, made possible by 3-D site estimation from the imagery, and matching of reference information and sensed image data across spectrums. Reference imagery is not traditionally used for prosecution of time critical mobile targets because references cannot be extracted within target time cycles.