Optimal nonlinear estimation on a plane

A method is provided for design of optimal nonlinear estimates of one class of partially observable Markovian random fields. The recurrent estimation procedure matches the scanning observation mode. The estimates are obtained by maximizing the a posteriori probability of the value of the observed field in its every point.