The paper provides an updated survey of hyper-spectral unmixing methods, publicly available spectral libraries and image datasets, and future research directions such as uncertainty quantification and transfer learning.
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Hyper-spectral Unmixing algorithms for remote compositional surface mapping: a review of the state of the art
The paper provides an updated survey of hyper-spectral unmixing methods, publicly available spectral libraries and image datasets, and future research directions such as uncertainty quantification and transfer learning.