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Spectral unmixing: estimating partial abundances

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dc.contributor.author Debba, Pravesh
dc.date.accessioned 2009-08-28T10:58:00Z
dc.date.available 2009-08-28T10:58:00Z
dc.date.issued 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.identifier.uri http://hdl.handle.net/10204/3549
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 Conference Presentation en
dc.identifier.apacitation Debba, P. (2009). Spectral unmixing: estimating partial abundances. http://hdl.handle.net/10204/3549 en_ZA
dc.identifier.chicagocitation Debba, Pravesh. "Spectral unmixing: estimating partial abundances." (2009): http://hdl.handle.net/10204/3549 en_ZA
dc.identifier.vancouvercitation Debba P, Spectral unmixing: estimating partial abundances; 2009. http://hdl.handle.net/10204/3549 . en_ZA
dc.identifier.ris 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 - End-member spectra KW - Synthetic mixtures KW - Spectral reflectance vector KW - Computed abundance vector KW - Linear spectral mixture analysis KW - LSMA KW - Minerals KW - Built Environment CSIR LK - https://researchspace.csir.co.za PY - 2009 T1 - Spectral unmixing: estimating partial abundances TI - Spectral unmixing: estimating partial abundances UR - http://hdl.handle.net/10204/3549 ER - en_ZA


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