Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing
Spectral unmixing is an important technique for quantitatively analyzing hyperspectral remote sensing images.Recently, constrained nonnegative matrix factorization (NMF) has been demonstrated to be a powerful tool for spectral unmixing.However, acquiring the problem-dependent prior knowledge and incorporating it into NMF as effective constraints is