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MSMTRIU-Net:基于深度学习的方法,用于识别使用多源和多时间遥感图像的水种植区

Manlin Wang1, Xiaoshuang Ma1,2,3, Taotao Zheng1

  • 1School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
概括

准确地绘制大米地图对于农业至关重要. 使用多源多时远程传感数据的新型深度学习模型显著改善了米种植区的识别和绘制连续性.

关键词:
农业 遥感 农业 遥感深度学习是一种深度学习.功能融合 功能融合 功能融合多源远程传感多源远程传感监测大米的监测大米的监测

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Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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