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ADAPTIVE DISPLACEMENT VECTOR FIELD ESTIMATION BASED ON MULTIPLE MODEL APPROACH |
Lu Mingjun;Wang Runsheng |
ATR National Lab., National University of Defence Technology, Changsha 410073 |
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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.
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Received: 26 February 1999
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