Spectral curve shape matching with a continuum removed CCSM algorithm
Matching known spectral signatures and unknown spectral signatures in order to determine the similarity of two spectra is commonly done in (imaging) spectrometry using statistical approaches. One such approach, the Cross Correlogram Spectral Matching (CCSM) technique, uses cross correlograms calculated between a reference (known) and target (unknown) spectrum shifted subsequently over m channels to shorter and longer wavelength. The match is derived by calculating skewness and root mean square error (RMS) value. Absorptions in a spectrum have two components: continuum and individual features. The continuum can be considered as background (absorption) onto which other absorption features are superimposed. A slope in the continuum results in an apparent shift of the reflectance minimum, thus misinterpreting the real position of maximum depth of the feature. Removal should be implemented in any spectral matching procedure. Here the results of spectral matching with a cross correlogram spectral matching algorithm incorporating continuum removal are presented. The results show that subtle spectral differences can be matched using the continuum removal approach. It is proposed to use the continuum removal approach as an addition to the standard CCSM to provide detailed spectral information overlooked by CCSM.
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