A K-Wishart Markov random field model for clustering of polarimetric SAR imagery

V. Akbari, G. Moser, A. P. Doulgeris, S. N. Anfinsen, T. Eltoft, S. B. Serpico
2011 2011 IEEE International Geoscience and Remote Sensing Symposium  
A clustering method that combines an advanced statistical distribution with spatial contextual information is proposed for multilook polarimetric synthetic aperture radar (PolSAR) data. It is based on a Markov random field (MRF) model that integrates a K-Wishart distribution for the PolSAR data statistics conditioned to each image cluster and a Potts model for the spatial context. Specifically, the proposed algorithm is constructed based upon the expectation maximization (EM) algorithm. A new
more » ... rmulation of EM is developed to jointly address parameter estimation in the K-Wishart distribution and the spatial context model, and also minimization of the energy function. Experiments are presented with simulated and real quad-pol L-band data.
doi:10.1109/igarss.2011.6049317 dblp:conf/igarss/AkbariMDAES11 fatcat:dvww4lj7mzdyxp5yiinxlitfmy