Handling the Class Imbalance in Land-Cover Classification Using Bagging-Based Semisupervised Neural Approach.
Shounak ChakrabortyJayashree PhukanMoumita RoyBidyut Baran ChaudhuriPublished in: IEEE Geosci. Remote. Sens. Lett. (2020)
Keyphrases
- class imbalance
- land cover classification
- imbalanced data
- class distribution
- semi supervised
- active learning
- multispectral
- supervised classification
- cost sensitive
- unlabeled data
- high dimensionality
- minority class
- sampling methods
- base classifiers
- machine learning
- remote sensing data
- remote sensing
- land cover
- ensemble methods
- high spatial resolution
- hyperspectral
- ensemble learning
- semi supervised learning
- concept drift
- training set
- generalization error
- neural network
- random forest
- feature selection
- data sets
- decision trees
- supervised learning
- image data
- training data
- pattern recognition
- image analysis
- unsupervised learning
- dimensionality reduction