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dc.contributor.author Debba, Pravesh
dc.date.accessioned 2010-04-13T07:39:17Z
dc.date.available 2010-04-13T07:39:17Z
dc.date.issued 2009-07
dc.identifier.citation Debba, 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 1-4 en
dc.identifier.isbn 978-1-4244-3395-7
dc.identifier.uri http://hdl.handle.net/10204/4019
dc.description IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009 en
dc.description.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. 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. en
dc.language.iso en en
dc.publisher IEEE en
dc.subject Remote sensing en
dc.subject Spectral unmixing en
dc.subject Derivatives en
dc.subject Signal-to-noise ratio en
dc.subject Geoscience en
dc.subject Hyperspectral en
dc.title Abundance estimation of spectrally similar minerals en
dc.type Presentation en


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