New Publication: SEN2NAIP published in ‘Scientific Data’

We’re thrilled to announce that our SEN2NAIP dataset has been published in the journal Scientific Data! This milestone recognizes our effort to provide a high-quality, large-scale dataset tailored for super-resolution (SR) in remote sensing.

SEN2NAIP includes over 2,800 cross-sensor image pairs from Sentinel-2 and NAIP, as well as 35,000+ synthetic pairs created using a custom degradation model that mimics Sentinel-2 imagery. By offering both real and synthetic data, SEN2NAIP supports the development and evaluation of SR algorithms aimed at improving spatial resolution in satellite imagery—fostering progress in applications ranging from agriculture to urban monitoring.

Read the full open-access paper here. Read the previous blog post for more information.

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No-Code SR Demo is now live!

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New Publication: SEN2NAIP published in ‘Scientific Data’

December 2024

The dataset paper has been published in 'Scientific Data'.

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OpenSR-Utils Preview Released: A package to handle patching, tiling and overlapping for SR Products

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SUPERIX: Intercomparison Excercise

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Team attends ESA SUREDOS Workshop in Frascati

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OpenSR-Test Framework and Datasets Released

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OpenSR-Degradation Released: Package to create Syntehtic Training Data

March 2024

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