Imbalanced Multi-Class Classification of Hyperspectral Image Based on Smote and Deep Rotation Forest.
Xian ZhongYinghui QuanWei FengQiang LiGabriel DauphinMengdao XingPublished in: IGARSS (2021)
Keyphrases
- hyperspectral
- multi class classification
- class imbalance
- binary classification
- class distribution
- multi class
- base classifiers
- cost sensitive
- remote sensing
- infrared
- active learning
- image data
- random forest
- ensemble methods
- high dimensionality
- concept drift
- ensemble learning
- classification error
- training set
- support vector
- feature selection
- ensemble classifier
- training examples
- computer vision
- high resolution
- decision trees
- learning algorithm
- machine learning