A Semisupervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images.
Ramanarayan MohantyS. L. HappyAurobinda RoutrayPublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- hyperspectral images
- dimensionality reduction
- spectral signatures
- hyperspectral
- hyperspectral imagery
- low dimensional
- manifold learning
- hyperspectral data
- spectral features
- spectral bands
- high dimensional
- nonlinear dimensionality reduction
- semi supervised
- lower dimensional
- remote sensing
- hyperspectral image classification
- locally linear embedding
- multispectral
- high dimensional data
- random projections
- high dimensionality
- multispectral images
- target detection
- principal component analysis
- band selection
- spatial information
- pattern recognition
- feature extraction
- spectral data
- feature space
- data points
- infrared
- feature selection
- dimension reduction
- linear discriminant analysis
- computer vision