Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances.
Chia-Hsiang LinJosé M. Bioucas-DiasPublished in: IGARSS (2018)
Keyphrases
- matrix factorization
- hyperspectral images
- hyperspectral data
- low rank matrix
- nonnegative matrix factorization
- hyperspectral
- low rank
- random projections
- hyperspectral imagery
- tensor factorization
- collaborative filtering
- sparsity constraints
- negative matrix factorization
- remote sensing
- recommender systems
- missing data
- multispectral
- factor analysis
- latent factors
- factorization methods
- sparse non negative
- multispectral images
- item recommendation
- data matrix
- image data
- data sparsity
- infrared
- binary matrix
- probabilistic matrix factorization
- factorization method
- target detection
- independent component analysis
- dimensionality reduction
- personalized ranking
- blind source separation
- clustering algorithm
- sparse matrix
- sparse representation
- high dimensional