Semi-supervised local discriminant analysis with nearest neighbors for hyperspectral image classification.
Chih-Sheng ChangKai-Ching ChenBor-Chen KuoMin-Shian WangCheng-Hsuan LiPublished in: IGARSS (2014)
Keyphrases
- discriminant analysis
- hyperspectral image classification
- semi supervised
- nearest neighbor
- active learning
- training set
- semi supervised learning
- linear discriminant analysis
- k nearest neighbor
- hyperspectral
- hyperspectral images
- knn
- high dimensional data
- labeled data
- unlabeled data
- supervised learning
- data points
- feature extraction
- face recognition
- principal component analysis
- pairwise constraints
- learning algorithm
- manifold learning
- unsupervised learning
- high dimensional
- graph embedding
- decision boundary
- hyperspectral data
- dimensionality reduction methods
- remote sensing
- support vector machine svm
- machine learning
- image analysis
- subspace learning
- hyperspectral imagery
- nearest feature line
- computer vision
- input space
- learning process
- cluster analysis