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Spatial low-rank tensor factorization for hyperspectral image unmixing
(2021-05-14)
This work presents a method for hyperspectral image unmixing based on nonnegative
tensor factorization. While traditional approaches may process spectral
information without regard for spatial structures in the data set, ...