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本数据集对应论文《森林资源自动化清查：基于三维深度学习的高密度机载激光雷达（LiDAR）点云分析》中配置了基础设置、二元语义损失（binary semantic loss）、类别权重、高度权重、区域权重、弹性畸变与下采样以及TreeMix的实验方案。