Maximum Correntropy Criterion-Based Low-Rank Preserving Projection for Hyperspectral Image Classification.
Xiaotao WangFang LiuPublished in: IEEE Geosci. Remote. Sens. Lett. (2018)
Keyphrases
- low rank
- hyperspectral image classification
- active learning
- missing data
- linear combination
- matrix completion
- convex optimization
- matrix factorization
- semi supervised
- low rank matrix
- singular value decomposition
- hyperspectral images
- hyperspectral
- high dimensional data
- rank minimization
- high order
- singular values
- hyperspectral data
- trace norm
- collaborative filtering
- subspace clustering
- data analysis
- learning process
- feature selection
- multispectral