Non-negative matrix factorization based unmixing for principal component transformed hyperspectral data.
Xiurui GengLuyan JiKang SunPublished in: Frontiers Inf. Technol. Electron. Eng. (2016)
Keyphrases
- hyperspectral data
- principal components
- negative matrix factorization
- principal component analysis
- nonnegative matrix factorization
- dimensionality reduction
- independent component analysis
- random projections
- face recognition
- low dimensional
- dimension reduction
- blind source separation
- hyperplane
- sparse representation
- covariance matrix
- document clustering
- matrix factorization
- feature extraction
- singular value decomposition
- infrared
- image data
- spectral clustering
- data sets
- hyperspectral
- feature vectors
- pattern recognition
- computer vision
- learning algorithm