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Investigates image correlation for map matching in target acquisition and tracking both theoretically and by using computer simulations. The emphasis is on the acquisition phase, particularly (1) the probability of achieving a correct match, (2) selection of an appropriate comparison metric to maximize this probability. Study conclusions: Using methods outlined in this report, an approximate lower bound on the value of the probability of a correct match can be calculated. Several quantitative relationships between this probability and various system parameters have been derived and largely confirmed by simulation testing. The second conclusion is that there ought to be better algorithms than those used in the past. It is reasonable and consistent with theory to search for more efficient ways to carry out the initial map-matching or target-acquisition function. Preprocessing to extract special features using techniques of pattern recognition appear promising for the generation of more efficient algorithms. Future research in this area is outlined.

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