Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning With Distance Covariance Representation for Hyperspectral Image Classification.
Mingsong LiWei LiYikun LiuYuwen HuangGongping YangPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- subspace learning
- manifold learning
- low dimensional
- hyperspectral image classification
- dimensionality reduction
- euclidean distance
- euclidean space
- graph embedding
- data representation
- lie group
- grassmann manifold
- geodesic distance
- high dimensional
- sparse coding
- principal component analysis
- high dimensional data
- semi supervised
- face recognition
- decision trees
- learning algorithm
- machine learning
- hyperspectral
- active learning
- feature space
- pattern recognition
- hyperspectral images
- similarity measure
- feature extraction