Title :
Abundance estimation of spectrally similar minerals
Author_Institution :
CSIR Built Environ., Council for Sci. & Ind. Res. (CSIR), Pretoria, South Africa
Abstract :
This paper evaluates a spectral unmixing method for estimating the partial abundance of spectrally similar minerals in complex mixtures. The method requires formulation of a linear function of individual spectra of individual minerals. The first and second derivatives of each of the different sets of mixed spectra and the individual spectra are determined, at signal-to-noise ratios of 50:1, 200:1 and 500:1. The error is minimized by means of simulated annealing. Experiments were made on several different mixtures of selected end-members, which could plausibly occur in real situations. We conclude that in the method proposed, the use of the original and first order derivatives provides a valuable contribution to unmixing procedures provided the signal-to-noise ratio is between 50:1 and 200:1. When the signal-to-noise ratio increases, the second derivative of the observed spectrum and the second derivatives of the end-member spectra give most precise estimates for the partial abundance of each end-member. This can often be seen when the signal-to-noise ratio is of the order 500:1.
Keywords :
geophysical signal processing; minerals; simulated annealing; spectral analysis; abundance estimation; linear function; simulated annealing; spectral unmixing; spectrally similar minerals; Africa; Councils; Hyperspectral imaging; Hyperspectral sensors; Minerals; Mining industry; Remote sensing; Signal to noise ratio; Simulated annealing; Smoothing methods; abundance; derivatives; hyperspectral; signal-to-noise ratio; spectrally similar; unmixing;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5418069