Unsupervised Segmentation of Spectral Images with a Spatialized Gaussian Mixture Model and Model Selection
In this article, we describe a novel unsupervised spectral image segmentation algorithm.This algorithm extends the classical Gaussian Mixture Model-based unsupervised classification technique by incorporating a spatial flavor into the model: the spectra are modelized by a mixture of K classes, each with a Gaussian distribution, whose mixing proport