The focus of this thesis is to do ice-water classification on Sentinel-1 EW SLC imagery using an unsupervised Mixture of Gaussian segmentation algorithm. The classes are automatically labelled as sea ice or water based on the slope of the observed brightness decay from near- to far-range, which is different for sea ice and water. The aim of the thesis is twofold. In the first part, the ability of ...