“…The costs associated with capturing high-resolution temporal, spatial, and spectral data continue to decrease, and it is no surprise that hyperspectral images have found widespread use in areas such as, remote sensing, biotechnology, crop analysis, environmental monitoring, food production, medical diagnosis, pharmaceutical industry, mining, and oil & gas exploration, etc. [20,24,2,19,33,9,3,30,48,41,17,25,18,12]. Unlike color images that record red, green, and blue channels per pixel, hyperspectral images record 100s of channels per pixel, representing pixels' spectra.…”