Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data.
Wonkook KimMelba M. CrawfordJoydeep GhoshPublished in: IGARSS (1) (2008)
Keyphrases
- manifold learning
- labeled data
- semi supervised
- class labels
- labeled and unlabeled data
- hyperspectral imagery
- supervised learning
- text classification
- unlabeled data
- semi supervised learning
- label information
- dimensionality reduction
- hyperspectral images
- training data
- unsupervised learning
- dimension reduction
- active learning
- low dimensional
- feature extraction
- data points
- transfer learning
- svm classifier
- pattern classification
- classification accuracy
- support vector
- pattern recognition
- decision trees
- pairwise
- learning algorithm
- machine learning
- feature space
- remote sensing
- high dimensional data
- support vector machine
- high dimensional
- feature vectors
- multi view
- training examples
- support vector machine svm
- learning process
- image classification
- image data