What question did this study set out to answer?

This research aims to address inter-band misregistration in Sentinel-2 super-resolution training data.

March 30, 20260 citationsOpen Access

Real Sentinel-2 Super-Resolution: The Case for Misregistration-Aware Training Data

TTTomasz TarasiewiczSilesian University of Technology MKMichal Kawulok

Puntos clave

This research aims to address inter-band misregistration in Sentinel-2 super-resolution training data.
Proposes a simulation framework
Introduces a registration-aware graph neural network
Identifies inter-band misregistration as a critical flaw
Suggests improvements in super-resolution techniques through awareness of misregistration

Resumen

Preprint of a paper accepted to IGARSS 2026. This work identifies inter-band misregistration as a critical flaw in Sentinel-2 super-resolution training data and proposes a progressive simulation framework with a registration-aware graph neural network to address the domain gap.

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Cite This Study

Tarasiewicz et al. (Sat,) studied this question.

synapsesocial.com/papers/69c9c553f8fdd13afe0bd2cf https://doi.org/https://doi.org/10.5281/zenodo.19282857

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