Endmember (EM) spectral variability can greatly impact the performance of standard
hyperspectral image analysis algorithms. Extended parametric models have been …

Earth and planetary sciences often rely upon the detailed examination of spectroscopic data
for rock and mineral identification. This typically requires the collection of high resolution …

The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …