Self-Supervised Learning in Remote Sensing: A review
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham et al.
2022 · IEEE Geoscience and Remote Sensing Magazine · 352 citations
In deep learning research, self-supervised learning (SSL) has received great attention, triggering interest within both the computer vision and remote sensing communities. While there has been big success in computer vision, most of the potential of SSL in the domain of Earth observation remains locked. In this article, we provide an introduction to and a review of the concepts and latest developments in SSL for computer vision in the context of remote sensing. Further, we provide a preliminary benchmark of modern SSL algorithms on popular remote sensing datasets, verifying the potential of S…
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