Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding.
Hong HuangMeili ChenYule DuanPublished in: Remote. Sens. (2019)
Keyphrases
- spectral signatures
- hyperspectral images
- dimensionality reduction
- hyperspectral
- hyperspectral data
- hyperspectral imagery
- random projections
- nonlinear dimensionality reduction
- structure preserving
- frequency domain
- graph embedding
- high dimensional
- remote sensing
- hyperspectral image classification
- hyperspectral imaging
- manifold learning
- embedding space
- feature extraction
- multispectral
- principal component analysis
- low dimensional
- principal components
- infrared
- dimensionality reduction methods
- band selection
- spectral bands
- high dimensional data
- linear discriminant analysis
- spectral resolution
- affine transform
- multispectral images
- sparse representation
- data points
- spatial frequency
- kernel pca
- video sequences
- subband
- spatial domain
- feature selection