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Yiting Bian

1 accepted papers

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…

Cited by 0SourceScholar