SMOTE-Based Weighted Deep Rotation Forest for the Imbalanced Hyperspectral Data Classification.
Yinghui QuanXian ZhongWei FengJonathan Cheung-Wai ChanQiang LiMengdao XingPublished in: Remote. Sens. (2021)
Keyphrases
- hyperspectral data
- hyperspectral images
- imbalanced data sets
- class imbalance
- hyperspectral
- hyperspectral imagery
- class imbalanced
- multispectral
- infrared
- minority class
- class labels
- random projections
- class distribution
- remote sensing
- text classification
- decision trees
- machine learning
- data sets
- feature extraction
- image classification
- support vector machine svm
- classification models
- supervised learning
- support vector machine
- image analysis
- training set
- support vector
- ensemble classifier
- cost sensitive
- feature selection
- learning algorithm