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# MultiviewCropClassification
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<a href="https://github.com/fmenat/mvlearning"> <img src="https://img.shields.io/badge/Package-mvlearning-blue"/> </a> [![paper](https://img.shields.io/badge/arXiv-2308.05407-D12424)](https://www.arxiv.org/abs/2308.05407)
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<a href="https://github.com/fmenat/mvlearning"> <img src="https://img.shields.io/badge/Package-mvlearning-blue"/> </a>
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[![paper](https://img.shields.io/badge/arXiv-2308.05407-D12424)](https://www.arxiv.org/abs/2308.05407)
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[![DOI:10.1109/IGARSS52108.2023.10282138](http://img.shields.io/badge/DOI-10.1109/IGARSS52108.2023.10282138-blue.svg)](https://doi.org/10.1109/IGARSS52108.2023.10282138)
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> Public repository of our work [*A comparative assessment of multi-view fusion learning for crop classificatio*](https://doi.org/10.1109/IGARSS52108.2023.10282138)
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Code used for the crop classification (CropHarvest) based on multi-view data fusion
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# :scroll: Source
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Public repository of our IGARSS 2023 paper.
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* :lock: [Final published version](https://doi.org/10.1109/IGARSS52108.2023.10282138)
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* :unlock: [Arxiv](https://arxiv.org/abs/2308.05407)
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* [Presentation](https://github.com/fmenat/fmenat/blob/main/presentations/2023_IGARSS_MVC.pdf)
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# 🖊️ Citation
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# 🖊️ Citation and more
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Mena, Francisco, et al. "*A comparative assessment of multi-view fusion learning for crop classification.*" IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023.
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```bibtex
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doi={10.1109/IGARSS52108.2023.10282138}
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}
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```
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> [!NOTE]
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> * [Presentation](https://github.com/fmenat/fmenat/blob/main/presentations/2023_IGARSS_MVC.pdf)

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