Abstract:Each submodel of a half plane compound Gauss-Markov model, which is identified by a line process, is suitable for describing stationary or nonstationary DVF(displacement vector field); In order to determine the a priori distribution of these submodels, a half plane Markov random field model is utilized to describe the distribution of the line process. Thus, a recursive and adaptive DVF estimation algorithm based on multiple model approach is developed in this paper.