Spectral Match

Can be used in HyperSpectral Image Remote Sensing. Produces a matching/Score matrix.

Spectral Match based on the provided Spectral data base generates an output showing how good each entry of your data matches to each entry of the spectral database.
INPUTS:
-- Data: must be of size nBand x nPixel, that is each columns is one measurements or pixel of your hyperspectral images.
-- SpectralDB: must be of size nBand x nSpectra, where nSpectra varies based on howmany entries you have in your database.
-- Method: Computes the match. Currently there are two methods: (1) RMSE: The lower the better match.(2) DotProduct: the closer to 1 the better.

OUTPUTS
-- Output: would be of size nPixel x nSpectra. Each entry, i.e. (i,j) element, shows the matching criteria, i.e. RMSE or DotProduct, of the pixel i with the database spectra j