Subspace multi-regularized non-negative matrix factorization for hyperspectral unmixing.
Songtao LiWeigang LiLian CaiYang LiPublished in: Appl. Intell. (2023)
Keyphrases
- hyperspectral
- negative matrix factorization
- principal component analysis
- hyperspectral images
- signal subspace
- hyperspectral data
- remote sensing
- nonnegative matrix factorization
- multispectral
- infrared
- spectral signatures
- sparse representation
- matrix factorization
- image data
- hyperspectral imagery
- target detection
- document clustering
- hyperspectral remote sensing
- blind source separation
- spatial resolution
- information content
- satellite images
- spectral clustering
- principal components
- low dimensional
- least squares
- kernel based nonlinear
- high dimensional
- feature space
- dimensionality reduction
- dimension reduction
- mutual information
- subspace learning
- data sets
- change detection
- multispectral images
- pattern recognition
- face recognition
- data mining