Dual-Prompt-Driven Cross-Modal Fusion Learning for Few-Shot Hyperspectral Image Classification
Vision-language multimodal learning has exhibited remarkable advantages in few-shot hyperspectral image (HSI) classification, where prompt learning effectively enhances feature-extraction accuracy and representation quality by guiding the model to focus on critical information. However, static prompts lack flexibility,...