ResearchSpace

Abundance estimation of spectrally similar minerals

Show simple item record

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 Conference Presentation en
dc.identifier.apacitation Debba, P. (2009). Abundance estimation of spectrally similar minerals. IEEE. http://hdl.handle.net/10204/4019 en_ZA
dc.identifier.chicagocitation Debba, Pravesh. "Abundance estimation of spectrally similar minerals." (2009): http://hdl.handle.net/10204/4019 en_ZA
dc.identifier.vancouvercitation Debba P, Abundance estimation of spectrally similar minerals; IEEE; 2009. http://hdl.handle.net/10204/4019 . en_ZA
dc.identifier.ris 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 - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record