Ron Mühlhaus
I love to solve complex problems.
Ocastra
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Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications
Authors
Ron Mühlhaus, Sandeep Kumar Jangir, Cecilia Curreli, Paul Karlshöfer, Daniel Cremers
Research Question
Can super resolution be used as a valuable preprocessing step for downstream remote sensing applications?
Contributions
Developed two satellite datasets for super-resolution tasks, focusing on 16-bit single-band imagery from Sentinel-2 and VENμS, with two spatial gaps of 20m to 10m and 10m to 5m.
Adapted and trained state-of-the-art super-resolution models SwinIR, MAT, PFT, and EDiffSR on three different dataset mixes utilizing different normalization strategies.
Benchmarked model performances on quantitive metrics PSNR, SSIM and evaluated their native upscaling capabilities with FID and custom trained NIQE models.
Evaluated the super-resolution models on a Sentinel-2 field boundary detection downstream task, ensuring their practical applicability for real-world remote sensing applications.
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