Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity.
Fubiao FengWei LiQian DuBing ZhangPublished in: Remote. Sens. (2017)
Keyphrases
- discriminant analysis
- hyperspectral images
- dimensionality reduction
- linear discriminant analysis
- hyperspectral
- dimensionality reduction methods
- subspace projection
- hyperspectral imagery
- principal component analysis
- feature extraction
- kernel discriminant analysis
- hyperspectral data
- graph embedding
- spectral bands
- face recognition
- similarity measure
- low dimensional
- remote sensing
- multispectral
- random projections
- principal components
- hyperspectral imaging
- multispectral images
- discriminant projection
- data representation
- manifold learning
- infrared
- spectral signatures
- target detection
- high dimensional data
- dimension reduction
- fisher discriminant analysis
- pattern recognition
- singular value decomposition
- semi supervised
- distance measure
- subspace learning
- feature selection
- high dimensional
- image data
- input space
- semantic similarity
- spatial resolution
- satellite images
- kernel trick
- feature space
- support vector
- high dimensionality
- original data
- partial least squares
- support vector machine svm
- image analysis
- null space
- information content
- neural network