A New Method for Quality Assessment of Hyperspectral Images

This work focuses on quality assessment of fusion of hyperspectral (HS) images with high-resolution panchromatic (Pan) data. A novel fidelity index suitable for HS images is defined from the theory of hypercomplex numbers (2n -ons). Both spectral and spatial distortion measurements are encapsulated in a unique score index. Some fusion methods capable to selectively inject spatial-frequencies from the higher-resolution Pan image to the coarser HS bands are used for testing and comparisons. Experimental results are presented on Hyperion and ALI data sets.