k8s
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关于云处理的一些想法
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Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction A Systematic Review
参考文献：
https://www.mdpi.com/2072-4292/15/8/2014
Xu, J.; Yang, J.; Xiong, X.; Li, H.; Huang, J.; Ting, K.; Ying, Y.;
Lin, T. Towards Interpreting Multi-Temporal Deep Learning Models in Crop
Mapping.Remote Sens. Environ.2021,264, 112599. [CrossRef]
102.Tian, H.; Wang, P.; Tansey, K.; Han, D.; Zhang, J.; Zhang, S.;
Li, H. A Deep Learning Framework under Attention Mechanism for Wheat
Yield Estimation Using Remotely Sensed Indices in the Guanzhong Plain,
Pr China.Int. J. Appl. Earth Obs. Geoinf.2021, ...
A Deep Learning Framework under Attention Mechanism for Wheat Yield Estimation Using Remotely Sensed Indices in the Guanzhong Plain
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8 月 28 总结
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时序卫星遥感揭示加沙地带战争损毁持续攀升
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Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
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Boosting crop classification by hierarchically fusing satellite, rotational, and contextual data
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入学材料
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Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
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