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Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems

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3 Author(s)
Levada, A. ; Inst. de Fis. de Sao Carlos, Univ. de Sao Paulo, Sao Carlos ; Mascarenhas, N. ; Tannus, A.

This letter presents pseudolikelihood equations for the estimation of the Potts Markov random field model parameter on higher order neighborhood systems. The derived equation for second-order systems is a significantly reduced version of a recent result found in the literature (from 67 to 22 terms). Also, with the proposed method, a completely original equation for Potts model parameter estimation in third-order systems was obtained. These equations allow the modeling of less restrictive contextual systems for a large number of applications in a computationally feasible way. Experiments with both simulated and real remote sensing images provided good results.

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Geoscience and Remote Sensing Letters, IEEE  (Volume:5 ,  Issue: 3 )