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Updated: Jun 8, 2025

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空载LiDAR点云分类使用集体学习用于DEM生成

Ting-Shu Ciou1, Chao-Hung Lin1, Chi-Kuei Wang1

  • 1Department of Geomatics, National Cheng Kung University, Tainan 70101, Taiwan.

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

本研究引入了一种改进的深度学习模型,用于对空中激光扫描 (ALS) 点云进行分类. 这种新的方法提高了跨越不同地形的数字海拔模型 (DEM) 生成的准确性.

关键词:
在 DEM 时代产生的 DEM.深度学习是一种深度学习.点云细分 分点云细分

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