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
Frédéric Guérault and Philippe Réfrégier, "Unified statistically independent region processor for deterministic and fluctuating targets in nonoverlapping background," Opt. Lett. 23, 412-414 (1998)