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革命性的城市地图:深度学习和数据融合策略,用于准确的建筑足迹细分

P Dabove1, M Daud2, L Olivotto2

  • 1Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy. paolo.dabove@polito.it.

Scientific reports
|June 12, 2024
PubMed
概括

这项研究结合了空中图像和数字表面模型,使用深度学习来准确地提取建筑足迹. 该方法增强了城市绘图,并减少了与传统技术相比的处理时间.

关键词:
建筑物的足迹数据融合数据融合深度学习是一种深度学习.分段化 分段化 分段化 分段化城市规划是城市规划.

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