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

Land cover maps obtained with mTAN-GP, mTAN-MLP, mTAN-LTAE and raw-LTAE models for the year 2018 with Sentinel-2 acquisitions. 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.本数据集包含基于mTAN-GP、mTAN-MLP、mTAN-LTAE及raw-LTAE模型，利用哨兵二号（Sentinel-2）卫星观测数据生成的2018年土地覆盖图。如需了解更多细节，请参阅预印本论文"结合基于注意力的插值与稀疏变分高斯过程实现不规则且未对齐卫星影像时间序列（Satellite Image Time Series，SITS）土地覆盖分类的端到端学习"。该论文可在此处获取。