| As a new field of research, Airborne LiDAR system has more and more bright applicationprospects with the development of three-dimensional technology, such as mapping and urbanmodeling. In recent years, following the fast development of the Airborne LiDAR hardware,the point cloud acquired become more precise and massive. However, the classification of thepoint cloud sets which accounts for60-80percent of the workload for the LiDAR dataprocessing is becoming the bottleneck problem for their further application and development.As a result, how to process massive point cloud efficiently and precisely is quite necessaryand valuable to applications of Airborne LiDAR. This is also the goal of this thesis.Based on TeeraSolid, this paper designs a complete procedure of Airborne LiDAR dataprocessing, which could improved its efficiency and precision.In this paper, the core of research is manual classification of data processing. This paperdesigns a tool control named Ly-Tools, which is an Airborne LiDAR manual classification ofdata processing control which is self-developed based on MicroStation software using theVBA language. Thereby, it is necessary to improve Airborne LiDAR data processingefficiency by the practical operation of manual classification.Finally, through manual data processing of four sets of experimental data,it prove that thedesign of Ly-Tools control is feasible and efficient. In addition, this paper summarizes somemanual classification techniques for learners.By actual experiments, the data processing results gained by Ly-Tools control is relativelyideal. A good basis for advanced optimal and improvement of manual classification methodsis planted. A certain prospect of application can be expected. |