Hyperspectral Image, Remote Sensing, Deep Learning, Linear Spectral Unmixing, Classification Models.
due to the high collinearity (redundant information) between the adjacent bands. Other diﬀiculties are the high dimensionality of the hyperspectral data, spectral mixing, systematic or non-systematic noises and atmospheric effects. Therefore, complex and highly compute intensive data processing and