Kernel fully constrained least squares abundance estimates.
Joshua B. BroadwaterRama ChellappaAmit BanerjeePhilippe BurlinaPublished in: IGARSS (2007)
Keyphrases
- constrained least squares
- regularized least squares
- basis vectors
- regularization parameter
- reproducing kernel hilbert space
- sparse representation
- negative matrix factorization
- feature space
- kernel function
- least squares
- kernel methods
- nonnegative matrix factorization
- sparse coding
- support vector
- multiscale
- machine learning
- kernel matrix
- image representation
- distance measure
- feature extraction