Dimensionality reduction in hyperspectral image classification.
Huiwen ZengH. Joel TrussellPublished in: ICIP (2004)
Keyphrases
- hyperspectral image classification
- dimensionality reduction
- hyperspectral
- active learning
- hyperspectral images
- hyperspectral data
- random projections
- feature extraction
- high dimensionality
- low dimensional
- high dimensional data
- high dimensional
- principal component analysis
- dimensionality reduction methods
- principal components
- pattern recognition
- feature space
- feature selection
- singular value decomposition
- input space
- linear discriminant analysis
- multispectral
- lower dimensional
- hyperspectral imagery
- remote sensing
- dimension reduction
- machine learning
- infrared
- data points
- learning algorithm
- remote sensing images
- kernel pca
- relational databases
- training set