Supervised linear manifold learning feature extraction for hyperspectral image classification.
Jinhuan WenWeidong YanWei LinPublished in: IGARSS (2014)
Keyphrases
- manifold learning
- feature extraction
- semi supervised
- hyperspectral image classification
- discriminant projection
- active learning
- nonlinear manifold
- dimensionality reduction
- dimension reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- unsupervised learning
- subspace learning
- hyperspectral images
- feature selection
- hyperspectral
- manifold learning algorithm
- principal component analysis
- locally linear embedding
- neighborhood preserving embedding
- high dimensional data
- sparse representation
- preprocessing
- learning algorithm
- supervised learning
- image processing
- discriminant analysis
- linear discriminant analysis
- machine learning
- support vector machine svm
- signal processing