2025
Learning Deep Frequency Degradation Prior for Remote Sensing Spatio-temporal Fusion
ICASSP 2025accepted
Existing deep learning-based remote sensing spatiotemporal fusion (STF) relies on a data-driven paradigm without considering the degradation prior modeling from the coarseto fine-resolution images. This makes the learned model easy to overfit to the training dataset, resulting in poor domain general…