In the case of spectral mixtures (e.g. more than one mineral making up the spect

Question

In the case of spectral mixtures (e.g. more than one mineral making up the spectral signature) what would be the advantage of using Spectral Feature Fitting for mineral identification?

Note:

Spectral Feature Fitting (SFF) is an absorption-feature-based method for matching image spectra to reference spectra using a least-squares technique.

This method requires that a continuum must be removed from the reflectance data prior to analysis. A continuum is a mathematical function used to isolate a particular absorption feature for analysis. It corresponds to a background signal unrelated to specific absorption features of interest.

When we do continuum removal, we take the local maxima of the spectrum and fit a straight line between these points.

Continuum is the “background absorption” into which other absorption features are superimposed.

Explanation / Answer

Through SFF we use least square technique with which we can measure absorption feature depth whichbis related to material abundance. The brighter pixels in the image obtained indicate a better match to the reference material in those pixels. The image and reference spectra are compared at each wavelength in a least square sense. And the rms error is calculated for each reference spectra. Bybusing rms errors and scale image results we can locate areas that best match the reference spectrum

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