C-SASO: A Clustering-Based Size-Adaptive Safer Oversampling Technique for Imbalanced SAR Ship Classification.
Yongxu LiXudong LaiMingwei WangXi ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- class imbalance
- automatic classification
- classification accuracy
- support vector machine svm
- class labels
- image classification
- supervised learning
- pattern classification
- feature extraction
- minority class
- pattern recognition
- classification scheme
- support vector
- imbalanced datasets
- benchmark datasets
- cost sensitive learning
- classification method
- machine learning algorithms
- text classification
- binary classification problems
- support vector machine
- training set
- automatic target recognition
- data sets
- class distribution
- machine learning methods
- image reconstruction
- feature set
- semi supervised
- feature vectors
- decision trees
- machine learning