Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification.
Ramanarayan MohantyS. L. HappyAurobinda RoutrayPublished in: CoRR (2018)
Keyphrases
- hyperspectral image classification
- dimensionality reduction
- hyperspectral
- hyperspectral images
- spectral signatures
- active learning
- hyperspectral data
- spatial frequency
- hyperspectral imagery
- remote sensing
- multispectral
- principal component analysis
- spatial information
- high dimensional
- pattern recognition
- spectral characteristics
- random projections
- high dimensionality
- normalized cut
- target detection
- spatial resolution
- feature selection
- feature extraction
- low dimensional
- feature space
- face recognition
- infrared
- video sequences
- multispectral images
- lower dimensional
- image data
- machine learning
- principal components
- image processing
- high dimensional data
- linear discriminant analysis
- dimension reduction
- input space
- information content