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?
Reference:
Debba, P. 2009. Spectral unmixing: estimating partial abundances. Logistics and Quantitative Methods (LQM) Seminar Presentation 2009, Built Environment, CSIR. pp 1-22
Debba, P. (2009). Spectral unmixing: estimating partial abundances. http://hdl.handle.net/10204/3549
