Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General $\ell _{q}$ Norm Regularization
Saeid Gholinejad,
Alireza Amiri-Simkooei
Abstract:Hyperspectral unmixing (HU), an essential procedure for various environmental applications, has garnered significant attention within remote sensing communities. Among different groups of HU methods, non-negative matrix factorization (NMF)-based ones have gained widespread popularity due to their high capability in simultaneously extracting endmembers and their corresponding abundances. However, converting 3D hyperspectral data cube into 2D matrix format leads to the loss of spatial and potential correlation i… Show more
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