SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Date
2024-04-02
Authors
Stewart, Adam J.
Lehmann, Nils
Corley, Isaac A.
Wang, Yi
Ait Ali Braham, Nassim
Sehgal, Shradha
Robinson, Caleb
Banerjee, Arindam
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Publisher
UTSA Graduate School
Abstract
Landsat: Science, Petabytes, and SSL:
[Figure]
• Landsat's scientific significance and extended coverage
• Petabytes of accessible Landsat imagery
• Challenge: diverse sensors, varied wavelengths, and the lack of pre-trained models
• Problem: scarcity of large labeled datasets
• Solution: self-supervised learning (SSL)
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Department
Electrical and Computer Engineering