AI RESEARCH
Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
arXiv CS.LG
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ArXi:2603.14074v1 Announce Type: cross Super-resolution (SR) of satellite imagery is challenging due to the lack of paired low-/high-resolution data. Recent self-supervised SR methods overcome this limitation by exploiting the temporal redundancy in burst observations, but they lack a mechanism to quantify uncertainty in the reconstruction. In this work, we