TwoWin-SOVA: Two Windows Discrete Cosine Transform and Synthetic Minority Oversampling Technique One-Versus-All Ensemble Classifiers for Imbalanced Hyperspectral Image Explainable Classification.
Ziqi ZhaoChangbao YangQiong WuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- ensemble classifier
- hyperspectral images
- discrete cosine transform
- minority class
- imbalanced data
- class imbalance
- ensemble learning
- class distribution
- image compression
- hyperspectral
- classification models
- concept drift
- pattern recognition
- support vector machine
- multi class
- base classifiers
- feature extraction
- training set
- decision trees
- ensemble methods
- filter bank
- machine learning methods
- support vector machine svm
- classification accuracy
- classification algorithm
- transform domain
- support vector
- image processing
- remote sensing
- generalization ability
- machine learning
- class labels
- benchmark datasets
- training samples
- image classification
- multiscale
- training data
- feature selection