Tewelde Semere

Minority-Aware Semi-Supervised Learning for Class-Imbalanced Hyperspectral Image Classification with Limited Labels

Hyperspectral image (HSI) classification under limited labeled data is particularly challenging due to severe class imbalance, which often causes learning algorithms to favor majority classes and results in poor minority-class recognition. To address these challenges, this paper proposes a Minority Preserving Graph-Bas...