README.md

metadata

datasets:
  - wangyi111/Copernicus-Pretrain
  - wangyi111/Copernicus-Bench
license: cc-by-4.0
pipeline_tag: image-feature-extraction
tags:
  - earth-observation
  - remote-sensing
  - sentinel
  - foundation-model
library_name: transformers

# Model Card for Copernicus-FM

<!-- Provide a quick summary of what the model is/does. -->

[Copernicus-FM](https://github.com/zhu-xlab/Copernicus-FM) is an extension of the [DOFA](https://github.com/zhu-xlab/DOFA) foundation model, able to process any spectral or non-spectral sensor modality using extended dynamic hypernetworks and flexible metadata encoding. The model is pretrained on the Copernicus-Pretrain dataset with masked image modeling and continual distillation.

## Model Description

## Uses

## Related Sources

<!-- Provide the basic links for the model. -->

- **Repository:** https://github.com/zhu-xlab/Copernicus-FM
- **Paper:** https://arxiv.org/abs/2503.11849

## Citation

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

```bibtex
@misc{wang2025unifiedcopernicusfoundationmodel,
      title={Towards a Unified Copernicus Foundation Model for Earth Vision}, 
      author={Yi Wang and Zhitong Xiong and Chenying Liu and Adam J. Stewart and Thomas Dujardin and Nikolaos Ioannis Bountos and Angelos Zavras and Franziska Gerken and Ioannis Papoutsis and Laura Leal-Taixé and Xiao Xiang Zhu},
      year={2025},
      eprint={2503.11849},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.11849}, 
}