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The research sponsored by this grant is focused on the development of robust scene analysis algorithms to reliably analyze complex scenes with widely varying environmental and countermeasure conditions. Hybrid digital/optical processing architectures are developed to assimilate large quantities of multisensory information to locate and recognize targets in cluttered scenes. The major contribution of the research is the development of a theoretical and technological basis for designing robust multisensory vision systems.... Sensor Fusion, Sensor Evaluation, Feature Selection, Cuers, Segmenters, Target Recognizers, Optical Processing, Optical Target Recognizer, Multiprocessor Architectures, and Intelligent Controllers.