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
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/8033363
下载链接
链接失效反馈官方服务:
资源简介:
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.
创建时间:
2023-06-14



