Airborne unmixing-based hyperspectral super-resolution using RGB imagery

This paper presents an airborne experiment on unmixing-based hyperspectral super-resolution using RGB imagery. Preprocessing is described to ensure spatial and spectral consistency between hyperspectral and RGB images. An extended version of coupled nonnegative matrix factorization (CNMF) is introduced for multisensor hyperspectral super-resolution to deal with a challenging problem setting, i.e., only three spectral channels for higher spatial information and a 10-fold difference of ground sampling distance. The proposed method successfully estimated the high-spatial-resolution red-edge image. Numerical evaluation by comparing the high-spatial-resolution hyperspectral image to ground-measured spectra demonstrated recovery of pure-pixel spectra by the proposed method.