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使用U-Net与多式遥感时间特征集成的作物分类研究

Zhihui Zhu1,2, Yuling Chen2, Chengzhuo Lu3

  • 1Department of Earth Science and Technology, City College, Kunming University of Science and Technology, Kunming 650093, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
概括

通过将光学和雷达遥感数据结合起来,引入了一种新的作物分类方法. 这种多模式方法显著提高了识别玉米和大豆等作物类型的准确性.

关键词:
哨兵一号哨兵二号一个U-Net农作物的分类多模式遥感随机森林时间特征融合

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