Dimensionality Reduction of Hyperspectral Image Using Spatial Regularized Local Graph Discriminant Embedding.
Renlong HangQingshan LiuPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2018)
Keyphrases
- graph embedding
- discriminant embedding
- dimensionality reduction
- hyperspectral images
- spectral signatures
- hyperspectral
- low dimensional
- hyperspectral imagery
- remote sensing
- data representation
- discriminant analysis
- subspace learning
- principal component analysis
- spatial information
- manifold learning
- pattern recognition
- semi supervised
- high dimensional data
- discriminant information
- target detection
- high dimensional
- multispectral
- feature extraction
- linear discriminant analysis
- high dimensionality
- embedding space
- infrared
- dimensionality reduction methods
- label information
- feature selection
- small sample size
- data points
- random projections
- metric learning
- graph structure
- kernel learning
- feature space
- multispectral images
- kernel trick
- learning algorithm
- pattern classification