Dimensionality Reduction for Hyperspectral Data Based on Class-Aware Tensor Neighborhood Graph and Patch Alignment.
Yang GaoXuesong WangYuhu ChengZ. Jane WangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- dimensionality reduction
- random projections
- hyperspectral data
- neighborhood graph
- manifold learning
- data points
- graph construction
- euclidean distance
- hyperspectral
- high dimensional
- principal component analysis
- hyperspectral images
- multidimensional scaling
- high dimensional data
- principal components
- low dimensional
- hyperspectral imagery
- feature extraction
- remote sensing
- kernel pca
- linear discriminant analysis
- singular value decomposition
- input space
- unsupervised learning
- subspace learning
- feature space
- feature selection
- high dimensionality
- dimension reduction
- data sets
- infrared
- text categorization
- query processing
- pattern recognition
- computer vision
- neural network