Classification of imbalanced hyperspectral images using SMOTE-based deep learning methods.
Akin ÖzdemirKemal PolatAdi AlhudhaifPublished in: Expert Syst. Appl. (2021)
Keyphrases
- hyperspectral images
- deep learning
- imbalanced data sets
- decision trees
- class imbalance
- machine learning
- imbalanced data
- pattern recognition
- class distribution
- training set
- class imbalanced
- unsupervised feature learning
- unsupervised learning
- reinforcement learning
- high quality
- similarity measure
- feature extraction
- image processing
- feature selection