DocumentCode :
778699
Title :
Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems
Author :
Levada, Alexandre L M ; Mascarenhas, Nelson D A ; Tannus, A.
Author_Institution :
Inst. de Fis. de Sao Carlos, Univ. de Sao Paulo, Sao Carlos
Volume :
5
Issue :
3
fYear :
2008
fDate :
7/1/2008 12:00:00 AM
Firstpage :
522
Lastpage :
526
Abstract :
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.
Keywords :
Markov processes; Potts model; geophysical signal processing; maximum likelihood estimation; remote sensing; Potts MRF model parameter estimation; Potts-Markov random field; contextual system modeling; high order neighborhood systems; pseudolikelihood equations; remote sensing images; second order systems; Markov random fields (MRFs); Monte Carlo simulation; Potts model; maximum pseudolikelihood (MPL) estimation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2008.920909
Filename :
4556641
Link To Document :
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