Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability.
Tatsumi UezatoMathieu FauvelNicolas DobigeonPublished in: Remote. Sens. (2020)
Keyphrases
- hyperspectral
- nonnegative matrix factorization
- sparsity constraints
- hyperspectral images
- hyperspectral data
- remote sensing
- hyperspectral imagery
- infrared
- multispectral
- negative matrix factorization
- matrix factorization
- spectral bands
- hyperspectral remote sensing
- data representation
- spectral signatures
- image data
- spectral clustering
- spectral resolution
- spectral data
- target detection
- least squares
- information content
- spatial resolution
- sparse representation
- document clustering
- sparse coding
- random projections
- satellite images
- original data
- principal component analysis
- high dimensional
- image processing
- data sets
- dimensionality reduction
- image analysis
- objective function
- feature extraction
- computer vision