Hyperspectral Image Dimensionality Reduction via Graph Embedding in Core Tensor Space.
Peng WangChengyong ZhengShengwu XiongPublished in: IEEE Geosci. Remote. Sens. Lett. (2021)
Keyphrases
- graph embedding
- hyperspectral images
- dimensionality reduction
- hyperspectral
- embedding space
- low dimensional
- remote sensing
- data representation
- high dimensional
- discriminant analysis
- subspace learning
- discriminant information
- semi supervised
- principal component analysis
- random projections
- pattern recognition
- high dimensional data
- dimensionality reduction methods
- input space
- high dimensionality
- manifold learning
- feature space
- feature selection
- linear discriminant analysis
- dictionary learning
- data points
- nonlinear dimensionality reduction
- feature representation
- image data
- label information
- data sets
- euclidean distance
- sparse representation
- feature extraction