Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery.
Hong HuangZhengying LiHaibo HeYule DuanSong YangPublished in: Pattern Recognit. (2020)
Keyphrases
- discriminant analysis
- hyperspectral imagery
- feature extraction
- subspace projection
- graph embedding
- manifold learning
- linear discriminant analysis
- multispectral
- hyperspectral images
- remote sensing
- hyperspectral
- face recognition
- spatial resolution
- principal component analysis
- gabor wavelets
- feature space
- target detection
- matched filter
- fisher criterion
- discriminant projection
- low dimensional
- infrared
- pattern recognition
- lower dimensional
- dimensionality reduction
- change detection
- dimensionality reduction methods
- feature selection
- image processing
- support vector machine svm
- riemannian manifolds
- high resolution
- dimension reduction
- image data
- subspace methods
- high dimensional
- unsupervised learning
- texture features