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Hapke-based computational method to enable unmixing of hyperspectral data of common salts

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Environmental scientists are currently assessing the ability of hyper-spectral remote sensing to detect, identify, and analyze natural components, including minerals, rocks, vegetation and soil. This paper discusses the use of a nonlinear reflectance model to distinguish multicomponent particulate mixtures. | Hapke-based computational method to enable unmixing of hyperspectral data of common salts