Self-Supervised Learning in Remote Sensing: A review
نویسندگان
چکیده
In deep learning research, self-supervised (SSL) has received great attention, triggering interest within both the computer vision and remote sensing communities. While there been big success in vision, most of potential SSL domain Earth observation remains locked. this article, we provide an introduction to a review concepts latest developments for context sensing. Further, preliminary benchmark modern algorithms on popular datasets, verifying providing extended study data augmentations. Finally, identify list promising directions future research (SSL4EO) pave way fruitful interaction domains.
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ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Magazine
سال: 2022
ISSN: ['2473-2397', '2373-7468', '2168-6831']
DOI: https://doi.org/10.1109/mgrs.2022.3198244