Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment

The proposed "Harmonized Transfer Learning and Modality Alignment (HarMA)" method simultaneously satisfies task constraints, modality alignment, and single-modality uniform alignment, while minimizing training overhead through parameter-efficient fine-tuning.