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- ---
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- license: apache-2.0
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- tags:
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- - earth-observation
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- - remote-sensing
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- - foundation-model
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- - multi-sensor
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- pipeline_tag: feature-extraction
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- ---
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  <p align="center">
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  <img src="imgs/logo.png" alt="Spectral Coverage" width="400"/>
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  </p>
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  # Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images
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- [![arXiv](https://img.shields.io/badge/arXiv-2407.02413-b31b1b.svg)](https://arxiv.org/abs/arxiv_id)
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  [![HuggingFace](https://img.shields.io/badge/-HuggingFace-3B4252?style=flat&logo=huggingface&logoColor=)](https://huggingface.co/collections/gsumbul/smarties-685888bb5ecded3f802cc945)
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  [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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  ![Python 3.10](https://img.shields.io/badge/Python%203.10-3776AB?logo=python&logoColor=FFF&style=flat)
@@ -44,7 +35,7 @@ SMARTIES is a generic and versatile FM lifting sensor-dependent efforts and enab
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  This repository contains the model weights of SMARTIES (ViT-B).
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- For usage instructions, dataset details, and full documentation, please visit the [SMARTIES GitHub page](https://github.com/gsumbul/SMARTIES). The details of SMARTIES are described in our paper, available on [arXiv](https://arxiv.org/abs/arxiv_id).
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  ## 📣 Attribution
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  If you use SMARTIES, please cite the paper:
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  @article{smarties,
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  title={{SMARTIES}: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images},
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  author={Gencer Sumbul and Chang Xu and Emanuele Dalsasso and Devis Tuia},
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- journal={arXiv preprint arXiv:arxiv_id},
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  year={2025}
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  }
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  ```
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  This repository is released under the Apache v2 License.
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  ## 🙏 Acknowledgements
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- SMARTIES is supported by the European Space Agency (ESA) through the Discovery and Preparation Program, and is part of the project Toward a Foundation Model for Multi-Sensor Earth Observation Data with Language Semantics.
 
 
 
 
 
 
 
 
 
 
 
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  <p align="center">
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  <img src="imgs/logo.png" alt="Spectral Coverage" width="400"/>
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  </p>
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  # Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images
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+ [![arXiv](https://img.shields.io/badge/arXiv-2407.02413-b31b1b.svg)](https://arxiv.org/abs/2506.19585)
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  [![HuggingFace](https://img.shields.io/badge/-HuggingFace-3B4252?style=flat&logo=huggingface&logoColor=)](https://huggingface.co/collections/gsumbul/smarties-685888bb5ecded3f802cc945)
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  [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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  ![Python 3.10](https://img.shields.io/badge/Python%203.10-3776AB?logo=python&logoColor=FFF&style=flat)
 
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  This repository contains the model weights of SMARTIES (ViT-B).
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+ For usage instructions, dataset details, and full documentation, please visit the [SMARTIES GitHub page](https://github.com/gsumbul/SMARTIES). The details of SMARTIES are described in our paper, available on [arXiv](https://arxiv.org/abs/2506.19585).
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  ## 📣 Attribution
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  If you use SMARTIES, please cite the paper:
 
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  @article{smarties,
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  title={{SMARTIES}: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images},
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  author={Gencer Sumbul and Chang Xu and Emanuele Dalsasso and Devis Tuia},
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+ journal={arXiv preprint arXiv:2506.19585},
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  year={2025}
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  }
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  ```
 
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  This repository is released under the Apache v2 License.
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  ## 🙏 Acknowledgements
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+ SMARTIES is supported by the European Space Agency (ESA) through the Discovery and Preparation Program, and is part of the project Toward a Foundation Model for Multi-Sensor Earth Observation Data with Language Semantics.
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+