A Markov random field integrating spectral dissimilarity and class co-occurrence dependency for remote sensing image classification optimization
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DOI: 10.1016/j.isprsjprs.2017.03.020
Abstract: Abstract This paper develops a novel Markov Random Field (MRF) model for edge-preserving spatial regularization of classification maps. MRF methods based on the uniform smoothness lead to oversmoothed solutions. In contrast, MRF methods which take… read more here.
Keywords: classification; markov random; random field; remote sensing ... See more keywords