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Informed Source Separation of Atmospheric and Surface Contributions in Hyperspectral Imagery using Non-Negative Matrix Factorization

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Abstract

Informed Non-negative Matrix Factorization is a numerical tool that can be tailored to separate atmospheric and surface contributions to hyperspectral imagery by using prior knowledge of signal spectral shape, magnitude and spatial abundance.

© 2016 Optical Society of America

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