A contextual-based segmentation of compact PolSAR images using Markov Random Field (MRF) model
A contextual-based segmentation of compact PolSAR images using Markov Random Field (MRF) model is a scholarly work, published in 2018 in ''International Journal of Remote Sensing''. The main subjects of the publication include segmentation, Wishart distribution, hyperspectral imaging, Markov chain, Markov random field, artificial intelligence, image segmentation, feature, mathematics, pattern recognition, cluster analysis, computer science, and synthetic aperture radar. The probabilistic distance used in this study is Wishart Chernoff distance which evaluates the similarity of clusters by measuring the distance between their complex Wishart probability density functions.