In article known methods of identification of the co-ordinate information are analysed, their merits and demerits are noted. The conclusion is drawn on working out of a method of identification the objects, based on Bayes’s the approach with parallel receipt of the data. As criterion of an optimality it is chosen Bayes’s criterion of a minimum of average risk, and optimisation consists in its minimisation. The case when some objects of supervision can be coincide is considered. The solving rule of identification of measurements for a case in point is formulated.
support, identification, the objects, not resolved group, the optimising problem, a solving rule, a hypothesis