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added references on OmniSat (#1)

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- added references on OmniSat (7701e3252a8dd2c61eeb35796e3fc8b58112bfa3)


Co-authored-by: osv5m <osv5m@users.noreply.huggingface.co>

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  1. README.md +9 -0
README.md CHANGED
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  # TreeSatAI-Time-Series
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  ****
 
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  Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
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  Sentinel-1 and Sentinel-2. The dataset contains labels of 20 European tree species (*i.e.*, 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany.
@@ -69,3 +70,11 @@ This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 Int
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  ### Contact
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  If you have any questions, issues or feedback, you can contact us at: ai-challenge@ign.fr
 
 
 
 
 
 
 
 
 
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  # TreeSatAI-Time-Series
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  ****
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+ This dataset was introduced in the [ECCV24 paper](https://arxiv.org/pdf/2404.08351) Omnisat.
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  Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
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  Sentinel-1 and Sentinel-2. The dataset contains labels of 20 European tree species (*i.e.*, 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany.
 
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  ### Contact
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  If you have any questions, issues or feedback, you can contact us at: ai-challenge@ign.fr
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+
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+ ### Citation
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+ @article{astruc2024omnisat,
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+ title={OmniSat: Self-Supervised Modality Fusion for Earth Observation},
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+ author={Astruc, Guillaume and Gonthier, Nicolas and Mallet, Clement and Landrieu, Loic},
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+ journal={ECCV},
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+ year={2024}
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+ }