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Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes - MaRDI portal

Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes

From MaRDI portal
Dataset:6697661



DOI10.5281/zenodo.8033364Zenodo8033364MaRDI QIDQ6697661

Dataset published at Zenodo repository.

Julien Michel, Valentine Bellet, Mathieu Fauvel, Jordi Inglada

Publication date: 13 June 2023

Copyright license: Creative Commons Attribution 4.0 International



Best learned model learned with the dataset available here for the mTAN-GP, mTAN-MLP, mTAN-LTAE, and raw-LTAE. For further details see the pre-print article End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes . This article is available : here. The implementation of the models is available in the open source repository.






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