Fully Constrained Least Squares Spectral Unmixing by Simplex Projection.
Rob HeylenDzevdet BurazerovicPaul ScheundersPublished in: IEEE Trans. Geosci. Remote. Sens. (2011)
Keyphrases
- constrained least squares
- nonnegative matrix factorization
- hyperspectral
- hyperspectral images
- negative matrix factorization
- hyperspectral data
- regularized least squares
- basis vectors
- regularization parameter
- hyperspectral imagery
- remote sensing
- multispectral
- linear programming
- matrix factorization
- sparse representation
- principal component analysis
- data representation
- linear combination
- least squares
- spectral clustering
- data sets
- original data
- image restoration
- maximum likelihood
- small number