Mixed pixel classification with the randomized Hough transform

We propose the use of the randomized Hough transform algorithm for the determination of the proportions of pure classes present in sets of mixed pixels, for large datasets (for which the deterministic Hough is prohibitively slow) and in the presence of outliers (i.e. in cases that the classical least square error method cannot cope). We demonstrate our results both with simulated and laboratory real data