unmixR: Hyperspectral Unmixing in R

Hyperspectral images are 3D data sets collected over an x, y grid, where the pixel at each x, y is composed of a spectrum. In hyperspectral unmixing, such a data set X composed of n observed spectra with p wavelengths or spectral bands is decomposed to identify the pure component spectra. Such data sets are found in airborne land imaging studies, biomedical and art history investigations as well as time series (kinetics) of chemical reactions. The spectra are typically visible, infrared, near-infrared, Raman spectra or mass spectrometric data sets.