Hyperspectral image classification via kernel fully constrained least squares.
Jianjun LiuZebin WuZhiyong XiaoJinlong YangPublished in: IGARSS (2017)
Keyphrases
- constrained least squares
- hyperspectral image classification
- regularized least squares
- active learning
- hyperspectral
- hyperspectral images
- regularization parameter
- negative matrix factorization
- reproducing kernel hilbert space
- kernel function
- sparse representation
- basis vectors
- feature space
- kernel methods
- image restoration
- least squares
- feature extraction
- decision trees
- machine learning
- remote sensing
- infrared
- image classification
- nonnegative matrix factorization
- data points
- training data