This research describes the derivation of a 50% probability of identification cycle criterion for a set of underwater mines. Various levels of blur were applied to eight underwater mines and four nonmine objects with nine aspects in the visible spectra. Results were analyzed as a function of blur level and target size to give identification probability as a function of resolvable cycles on target. The results are applicable to underwater mine target acquisition estimates for visible electro-optical imaging systems and for laser-illuminated, range-gated imaging systems. This research provides for the design and analysis of electro-optical systems in the identification of underwater mines.