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Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation
The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection
Mendeley Data2024-06-25 更新110
Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation
The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection
Mendeley Data2024-06-27 更新90
High Resolution LiDAR Point Cloud data for AI-Integrated Infrastructure Damage Detection in Arctic Road and Bridge Condition Assessment, Disaster Creek, Alaska, 2024.
Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalto
DataONE2025-10-20 更新40
2015年广州市天河区局部LiDAR点云样例数据
该数据为广州市天河区局部区域的2015的机载LiDAR点云数据。成果数据组成包含以下内容：点云密度、影像分辨率、数据拼接差、影像色调、精度、成果形式（坐标系统、结合图等）。数据成果有多种用途，可用于制作数字高程模型，可用于三维建模，可用于土方计算，也可用于监测地址灾害等。
国家对地观测科学数据中心2022-02-16 更新100
Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation
The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection
Mendeley Data2024-06-27 更新70
