Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization.
Timothy MarrinanNicolas GillisPublished in: EUSIPCO (2020)
Keyphrases
- nonnegative matrix factorization
- hyperspectral data
- hyperspectral
- hyperspectral images
- spectral signatures
- remote sensing
- hyperspectral imagery
- multispectral
- negative matrix factorization
- infrared
- data representation
- matrix factorization
- image data
- random projections
- least squares
- spectral clustering
- spectral data
- target detection
- principal component analysis
- spatial resolution
- information content
- original data
- document clustering
- principal components
- satellite images
- data sets
- input data
- information retrieval