A random subspace method with automatic dimensionality selection for hyperspectral image classification.
Bor-Chen KuoHsiang-Chuan LiuYu-Chen HsiehRuey-Ming ChaoPublished in: IGARSS (2005)
Keyphrases
- subspace methods
- hyperspectral image classification
- active learning
- lower dimensional
- face recognition
- hyperspectral images
- dimensionality reduction
- high dimensionality
- feature space
- hyperspectral
- principal component analysis
- high dimensional
- machine learning
- linear discriminant analysis
- ensemble methods
- face databases
- blind source separation