Techniques and applications of hyperspectral image analysis

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Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, background): “In this respect, basic literature can be found in Chang (2003) and Grahn and Geladi (2007).”
Hyperspectral and multispectral imaging for evaluating food safety and quality (2013, methodology): “Besides the methods discussed above, many other multivariate analysis techniques can be used to reduce spectral dimension and identify important wavelengths (Grahn and Geladi, 2007).”
Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials. (2014, methodology): “28,29 However, in contrast to NIR spectroscopy, the number of samples (or spectra) used for image regression models is much larger ( ca. 200000) than the number of variables ( ca. 240).”