2.4.1. Spectral Angle Mapper

The SAM is a prediction algorithm developed for the efficient classification of high- dimensional spectral data. The assignment uses the angle between the spectra to classify and reference spectra, treating a spectrum as high-dimensional vector [34]. The spectrum to be classified was assigned to the reference spectrum/class with the smallest angular distance. In addition, a threshold prohibited the assignment of spectra with a large angular distance.
