dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning

dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning本数据集为论文《自动化森林清查：基于三维深度学习的高密度机载激光雷达（LiDAR）点云分析》（Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning）中，针对"基础设置"、"附加二元语义损失"、"附加类别权重"、"附加高度权重"、"附加区域权重"、"结合弹性畸变与下采样"以及"结合TreeMix"实验配置的专用数据集。