Distributed Blind Hyperspectral Unmixing via Joint Sparsity and Low-Rank Constrained Non-Negative Matrix Factorization.
Christos G. TsinosAthanasios A. RontogiannisKostas BerberidisPublished in: IEEE Trans. Computational Imaging (2017)
Keyphrases
- hyperspectral
- low rank
- negative matrix factorization
- sparsity constraints
- matrix factorization
- hyperspectral images
- hyperspectral data
- remote sensing
- nonnegative matrix factorization
- tensor factorization
- infrared
- frobenius norm
- multispectral
- missing data
- convex optimization
- collaborative filtering
- sparse representation
- semi supervised
- linear combination
- image data
- matrix completion
- hyperspectral imagery
- kernel matrix
- singular value decomposition
- high dimensional data
- principal component analysis
- blind source separation
- recommender systems
- satellite images
- document clustering
- high order
- information content
- spectral clustering
- sparse coding
- low rank approximation
- image processing