Fang-Zhou Luo

A Self-Supervised Hyperspectral Unmixing Framework Based on Prior Self-Learning and Irrelevant Endmember Degradation

Hyperspectral unmixing is a crucial technique in hyperspectral remote sensing image processing, aiming to separate pure material spectra (endmembers) and their corresponding proportions (abundances) from mixed pixels. Existing nonnegative matrix factorization (NMF) methods suffer from poor interpretability due to the l...