Hong-Quan Xin

Dual-Level Domain Alignment Meets Fine-Grained Contrast: Advancing Cross-Scene Few-Shot Hyperspectral Image Classification

In hyperspectral image classification, existing cross-domain few-shot learning (CDFSL) approaches primarily focus on feature-level adaptation yet often neglect distribution-level shifts, which restricts the model’s transferability across different domains. This limitation is further exacerbated in challenging environme...