Debba, Pravesh2010-04-132010-04-132009-07Debba, P 2009. Abundance estimation of spectrally similar minerals. IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009, pp 1-4978-1-4244-3395-7http://hdl.handle.net/10204/4019IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009This 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. The authors 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.enRemote sensingSpectral unmixingDerivativesSignal-to-noise ratioGeoscienceHyperspectralConference PresentationDebba, P. (2009). Abundance estimation of spectrally similar minerals. IEEE. http://hdl.handle.net/10204/4019Debba, Pravesh. "Abundance estimation of spectrally similar minerals." (2009): http://hdl.handle.net/10204/4019Debba P, Abundance estimation of spectrally similar minerals; IEEE; 2009. http://hdl.handle.net/10204/4019 .TY - Conference Presentation AU - Debba, Pravesh AB - 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. The authors 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. DA - 2009-07 DB - ResearchSpace DP - CSIR KW - Remote sensing KW - Spectral unmixing KW - Derivatives KW - Signal-to-noise ratio KW - Geoscience KW - Hyperspectral LK - https://researchspace.csir.co.za PY - 2009 SM - 978-1-4244-3395-7 T1 - Abundance estimation of spectrally similar minerals TI - Abundance estimation of spectrally similar minerals UR - http://hdl.handle.net/10204/4019 ER -