Evaluating visible derivative spectroscopy by varimax-rotated, principal component analysis of aerial hyperspectral images from the western basin of Lake Erie
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DOI: 10.1016/j.jglr.2019.03.005
Abstract: Abstract The Kent State University (KSU) spectral decomposition method provides information about the spectral signals present in multispectral and hyperspectral images. Pre-processing steps that enhance signal to noise ratio (SNR) by 7.37–19.04 times, enables extraction… read more here.
Keywords: spectroscopy; hyperspectral images; visible derivative; spectroscopy varimax ... See more keywords