Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery.
Guangyao ShiHong HuangJiamin LiuZhengying LiLihua WangPublished in: Remote. Sens. (2019)
Keyphrases
- hyperspectral imagery
- discriminant analysis
- subspace projection
- dimensionality reduction
- linear discriminant analysis
- graph embedding
- spectral signatures
- feature extraction
- dimensionality reduction methods
- principal component analysis
- hyperspectral
- kernel discriminant analysis
- manifold learning
- low dimensional
- multispectral
- hyperspectral images
- target detection
- spatial resolution
- hyperspectral data
- high dimensional feature space
- remote sensing
- lower dimensional
- face recognition
- input space
- high dimensional
- feature space
- dimension reduction
- pattern recognition
- subspace learning
- locally linear embedding
- change detection
- spatial information
- high dimensional data
- data points
- feature selection
- multi band
- image data
- data analysis