将现象特征与时间序列变压器集成,以准确地绘制碎片化和易受云层影响的地区的田地图

Tiantian Xu1,2,3, Peng Cai2,3, Hangan Wei1,2,3

  • 1Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), Joint International Research Laboratory of Climate and Environment Change (ILCEC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, China.

PubMed
概括

本研究介绍了一种先进的卫星图像时间序列变压器 (SITS-Former) 模型,用于准确地绘制大米地图. 改进后的模型在识别大米种植区方面表现出色,即使有云覆盖和碎片化田地,也能改善粮食安全监测.

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