Sheng-Wei Zhong

Teacher-Anchored Prototype-Guided Domain Adaptation for Cross-Scene Hyperspectral Image Classification

Stable teacher-guided contrastive learning and PATS improve the accuracy and robustness of cross-scene HSIC, a coarse-to-fine adaptation framework that combines stable teacher guidance, contrastive structure learning, and reliable target sample mining.