Seed-to-Semantics: Few-Shot Prototype-Guided Progressive Learning for Hyperspectral and LiDAR Classification
Deep learning-based fusion of hyperspectral images (HSI) and LiDAR has achieved strong performance in multimodal remote sensing classification, but its success is heavily constrained by the high cost of pixel-wise annotation. In extremely label-scarce regimes, such as 2-5 labeled samples per class, conventional deep mo...