Lukasz G. Maciak

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—Nonnegative matrix factorization (NMF) is a recently developed linear unmixing technique that assumes that the original sources and transform were positively defined. Given that the linear mixing model (LMM) for hyperspectral data requires positive endmembers and abundances, with only minor modifications, NMF can be used to solve LMM. Traditionally, NMF(More)
by the material [2]. The resulting data are usually presented as Abstract-Feature extraction refers to the groups of techniques a continuous graph of reflectance intensity versus light that, when applied to large dimensional and redundant data wavelength (often called spectra) [3]. Figure 1 displays the result in significant dimensionality reduction while(More)
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