A combined hyperspectral image restoration and fusion approach

In this paper, we present a combined image restoration and fusion approach to enhance the spatial resolution of hyper-spectral (HS) images, using a low spatial resolution HS observation and a high spatial resolution multispectral (MS) observation of the same scene. The proposed approach is based on an iterative Expectation-Maximization restoration algorithm, improving the spatial resolution of the HS observation by knowledge of the images point spread function, combined with a Bayesian fusion approach, using the MS observation at a higher spatial resolution scale as an auxiliary. A practical implementation scheme is presented. Simulation experiments are conducted for performance evaluation.