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--- |
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license: mit |
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task_categories: |
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- image-classification |
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size_categories: |
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- 10K<n<100K |
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--- |
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## EuroSAT-SAR: Land Use and Land Cover Classification with Sentinel-1 |
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The EuroSAT-SAR dataset is a SAR version of the popular [EuroSAT](https://github.com/phelber/EuroSAT) dataset. We matched each Sentinel-2 image in EuroSAT with one Sentinel-1 patch according to the geospatial coordinates, ending up with 27,000 dual-pol Sentinel-1 SAR images divided in 10 classes. The EuroSAT-SAR dataset was collected as one downstream task in the work [FG-MAE](https://github.com/zhu-xlab/FGMAE) to serve as a CIFAR-like, clean, balanced ML-ready dataset for remote sensing SAR image recognition. |
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<p align="center"> |
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<img width="1000" alt="fgmae main structure" src="assets/eurosat-sar.png"> |
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</p> |
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The dataset can be downloaded as a compressed zip file [here](https://huggingface.co./datasets/wangyi111/EuroSAT-SAR/resolve/main/EuroSAT-SAR.zip). |
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### Citation |
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```bibtex |
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@article{wang2023feature, |
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title={Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing}, |
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author={Wang, Yi and Hern{\'a}ndez, Hugo Hern{\'a}ndez and Albrecht, Conrad M and Zhu, Xiao Xiang}, |
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journal={arXiv preprint arXiv:2310.18653}, |
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year={2023} |
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} |
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``` |