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Show simple item record Debba, Pravesh 2009-08-28T10:58:00Z 2009-08-28T10:58:00Z 2009
dc.identifier.citation Debba, P. 2009. Spectral unmixing: estimating partial abundances. Logistics and Quantitative Methods (LQM) Seminar Presentation 2009, Built Environment, CSIR. pp 1-22 en
dc.description This presentation was presented at the Logistics and Quantitative Methods (LQM Seminar at the CSIR en
dc.description.abstract Most spectral unmixing techniques are variants of algorithms involving matrix inversion. Major problem in spectral unmixing is the non-orthogonality of end-members. The ability to estimate abundances in complex mixtures through spectral unmixing techniques is complicated when considering very similar spectral signatures. Iron-bearing oxide/hydroxide/sulfate minerals have similar spectral signatures. The study focuses on how could estimates of abundances of spectrally similar iron-bearing oxide/hydroxide/sulfate minerals in complex mixtures be obtained using hyperspectral data? en
dc.language.iso en en
dc.subject Spectral unmixing en
dc.subject End-member spectra en
dc.subject Synthetic mixtures en
dc.subject Spectral reflectance vector en
dc.subject Computed abundance vector en
dc.subject Linear spectral mixture analysis en
dc.subject LSMA en
dc.subject Minerals en
dc.subject Built Environment CSIR en
dc.title Spectral unmixing: estimating partial abundances en
dc.type Presentation en

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