Cross-Sensor Hyperspectral Image Classification via Multiscale Spectral–Spatial Representation Learning and HyperLoRA-Based Adaptation
Hyperspectral image classification has significantly benefited from recent advances in deep learning. However, its performance remains constrained by limited labeled samples, high spectral dimensionality, and substantial cross-sensor variability, which hinder the generalization ability of models trained on limited or h...