基于机载与地面激光点云的区域三维绿量计算方法及系统
By combining airborne and ground-based laser point clouds, preprocessing and voxelization calculations are performed to construct a green volume correction model, which solves the problem of insufficient accuracy in airborne point cloud green volume calculation and achieves high-precision regional three-dimensional green volume estimation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN UNIV
- Filing Date
- 2026-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, airborne lidar point clouds suffer from low point cloud density and missing point clouds below the canopy in 3D green volume calculation, resulting in insufficient accuracy of calculation results. Furthermore, existing methods lack a generalizable and transferable technical framework for aerial point cloud green volume correction.
By acquiring airborne and ground-based laser point cloud data, preprocessing it, calculating the three-dimensional green volume value using the voxelization method, constructing a green volume correction model, and solving the model parameters using the least squares method, the green volume correction of the target area is achieved.
While reducing the cost of acquiring ground point clouds, it obtains regional three-dimensional green volume results that are close to the ground point cloud reference level, thus improving the calculation accuracy and consistency.
Smart Images
Figure CN122116215B_ABST