语Unet网络用于从长期和大量卫星图像中检测水线和屏障形状变化的分析

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Hsien-Kuo Chang1, Wei-Wei Chen1, Jia-Si Jhang2

  • 1Department of Civil Engineering, National Yangming Chiaotung University, Hsinchu 300, Taiwan.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括

沿海侵蚀正在重塑台湾的威桑德屏障 (WSDB). 研究人员使用人工智能跟踪水线变化,揭示季节性变化和最近的L形地形,表明大量的土地面积损失.

关键词:
区域衰减的区域衰减障碍物变化 改变障碍物变化深度学习网络深度学习网络卫星衍生的海岸线来源于卫星.

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