Imbalanced Hyperspectral Image Classification With an Adaptive Ensemble Method Based on SMOTE and Rotation Forest With Differentiated Sampling Rates.
Wei FengWenjiang HuangWenxing BaoPublished in: IEEE Geosci. Remote. Sens. Lett. (2019)
Keyphrases
- rotation forest
- sampling rate
- ensemble methods
- random forest
- class distribution
- base classifiers
- class imbalance
- ensemble classifier
- prediction accuracy
- benchmark datasets
- subspace methods
- ensemble learning
- decision trees
- machine learning methods
- generalization ability
- concept drift
- multi class
- cost sensitive
- classifier ensemble
- naive bayes
- classification error
- base learners
- training data
- data sets
- training samples
- training set
- video sequences
- class labels
- knn
- active learning
- learning algorithm
- machine learning