PSO-based automatic relevance determination and feature selection system for hyperspectral image classification

Based on the particle swarm optimisation algorithm, an ARD-FS system integrating the automatic relevance determination (ARD) and the feature selection (FS) for a Gaussian process classifier (GPC) is proposed. The ARD-FS system aims to reduce the complexity of the GPC and simultaneously improve the classification accuracy. It is applied to the hyperspectral images and experimental results demonstrate its good performance for hyperspectral image classification even with very limited labelled samples but high-dimensional features.