Combining rotation forests and adaboost for hyperspectral imagery classification using few labeled samples.
Fan LiAlexander WongDavid A. ClausiPublished in: IGARSS (2014)
Keyphrases
- hyperspectral imagery
- unlabeled samples
- labeled samples
- hyperspectral images
- semi supervised
- classification accuracy
- support vector
- feature selection
- discriminative information
- training data
- face detection
- support vector machine
- pattern recognition
- class labels
- decision trees
- training samples
- training set
- feature vectors
- machine learning
- target detection
- multi view
- change detection
- incremental learning
- face recognition
- image segmentation
- feature extraction