Mixture multiscale autoregressive modelling of SAR imagery for segmentation

摘要

A new and efficient multiscale model for the segmentation of synthetic aperture radar imagery, namely the mixture multiscale autoregressive (MMAR) model, is presented. The estimation of parameters is easily performed via expectation maximisation algorithm. Experimental results of the MMAR model are proposed and compared with those of previous methods.