A method for computer-aided processing of spatially resolved hyperspectral, in particular of mass spectrometry data

摘要

The invention relates to a method for computer-aided processing of spatially resolved hyperspectral, in particular of mass spectrometry data. The hyperspectral in this case as a data matrix (x), and subjected to a non-negative matrix-factorization, as a result of which a component matrix (s) and a coefficient matrix (c) are obtained. Within the scope of the non-negative matrix-factorization, a cost function as secondary conditions optimised, in which case an occupation of the poor component matrix (s) and a poor occupation of the coefficient matrix (c). The method according to the invention makes possible a compressed storage of hyperspectral, wherein important information obtained from the data remain.