Distributed algorithms for unmixing hyperspectral data using nonnegative matrix factorization with sparsity constraints.
Stefan A. RobilaDaniel RicartPublished in: IGARSS (2013)
Keyphrases
- nonnegative matrix factorization
- sparsity constraints
- negative matrix factorization
- data representation
- matrix factorization
- factor matrices
- least squares
- hyperspectral data
- spectral clustering
- principal component analysis
- original data
- hyperspectral
- pattern recognition
- hyperspectral imagery
- sparse representation
- singular value decomposition
- collaborative filtering
- random projections
- active learning
- data mining