Debba, Pravesh2009-08-282009-08-282009Debba, P 2009. Unmixing of spectrally similar minerals. Meraka Seminar Presentation, CSIR, South Africa. pp 1-26http://hdl.handle.net/10204/3550Presented at Meraka Institute, CSIRMost 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?enSpectral unmixingMineralsEnd-member spectraSynthetic mixturesHyperspectral dataIron-bearing oxideSulfate mineralsLogistics quantitative methodsUnmixing of spectrally similar mineralsConference PresentationDebba, P. (2009). Unmixing of spectrally similar minerals. http://hdl.handle.net/10204/3550Debba, Pravesh. "Unmixing of spectrally similar minerals." (2009): http://hdl.handle.net/10204/3550Debba P, Unmixing of spectrally similar minerals; 2009. http://hdl.handle.net/10204/3550 .TY - Conference Presentation AU - Debba, Pravesh AB - 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? DA - 2009 DB - ResearchSpace DP - CSIR KW - Spectral unmixing KW - Minerals KW - End-member spectra KW - Synthetic mixtures KW - Hyperspectral data KW - Iron-bearing oxide KW - Sulfate minerals KW - Logistics quantitative methods LK - https://researchspace.csir.co.za PY - 2009 T1 - Unmixing of spectrally similar minerals TI - Unmixing of spectrally similar minerals UR - http://hdl.handle.net/10204/3550 ER -