ASSUMPTION TRUTH MAINTENANCE IN AUTOMATIC TARGET RECOGNITION (ATR) ALGORITHM DESIGN

THE USE OF COMPUTER PROCESSING TO DETECT AND IDENTIFY TARGETS IS BECOMING CRITICALLY IMPORTANT IN SEVERAL MILITARY APPLICATIONS. WE PRESENT CANDIDATE ALGORITHMS THAT IMPLEMENT MULTISOURCE INFORMATION INTEGRATION WITH TRUTH MAINTENANCE AND UNCERTAINTY REPRESENTATION. THESE ALGORITHMS WILL ALLOW NON-MONOTONIC LOGIC AND PROBABILISTIC REASONING. GRAPHICAL SOFTWARE TOOLS ARE DEVELOPED TO DEMONSTRATE THE EFFICACY AND LOGIC OF THE ALGORITHMS. THE TEAM ASSEMBLED FOR THIS TASK HAS PRACTICAL EXPERIENCE WITH THE SOLUTION OF SIMILAR PROBLEMS IN SMART WEAPON APPLICATIONS AS WELL AS THEORETICAL AND PRACTICAL KNOWLEDGE OF THE MATHEMATICS AND ALGORITHMS OF SENSOR FUSION AND EVIDENCE ACCUMULATION.