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Unified statistically independent region processor for deterministic and fluctuating targets in nonoverlapping background

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Abstract

Recently, new approaches for location of a target in nonoverlapping noise, which are optimal in the maximum-likelihood sense, have been proposed. In particular, different methods for deterministic or fluctuating targets have been developed. We propose a unified and optimal processor for a target with either known or unknown gray levels. We demonstrate the efficiency and robustness of this method in comparison with previously developed processors.

© 1998 Optical Society of America

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