Triple-Regularized Latent Subspace Discriminative Regression for Hyperspectral Image Classification.
Wenbo WangZhangjing YangPu HuangFanlong ZhangWei TangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- hyperspectral image classification
- latent space
- active learning
- low dimensional
- category labels
- hyperspectral
- hyperspectral images
- lower dimensional
- feature extraction
- regression model
- semi supervised
- feature space
- dimensionality reduction
- high dimensional data
- hyperspectral data
- feature selection
- subspace learning
- model selection
- principal component analysis
- least squares
- high dimensional
- latent variables
- learning algorithm
- linear subspace
- regression algorithm
- remote sensing
- infrared
- unsupervised learning