Qi-Fan Liu

Dual-Domain Triple-View Contrastive Representation Learning for Few-Shot Hyperspectral Image Classification

Few-shot hyperspectral image classification (FS-HSIC) remains highly challenging because the limited number of labeled samples not only makes traditional supervised learning models prone to overfitting but also restricts their ability to learn generalizable spatial–spectral representations. Moreover, existing methods a...