摘要
通过研究线性内插同名点匹配方法,两者相互融合,处理后点云可以高精度识别不同特征地物。结合车载激光LiDAR和背包式激光LiDAR各自的优势,运用点云融合技术解决传统1∶500地形图测绘遗留的难点及相互兼容性。此技术完全满足地形图更新、城市道路设计、三维数字城市和古建筑测量等应用需求。
With the rapid development of domestic economy, the speed of 4D surveying and mapping products is getting faster and faster. Traditional surveying and mapping technology is difficult to meet the demand of construction period. The emergence of multi-platform radar equipment, such as vehicle-borne, airborne and backpack, causes the corresponding point clouds to be incompatible with each other. As the latest surveying and mapping technology, vehicle-borne laser system and backpack laser system have gradually become the main technology of surveying and mapping. Based on vehicle-borne laser point cloud accuracy advantages, we researched the linear interpolation same name point matching method, fused the two together, which could high accuracy identify different features. Combining with the advantages of vehicle-borne laser LiDAR and backpack laser LiDAR, we used point cloud fusion technology to solve the difficulties of traditional surveying and mapping technology legacy and mutual compatibility. This technology can be applied to topographic map update, urban road design, 3D digital city and ancient building survey.
作者
李振
LI Zhen(Stargis(Tianjin)Technology Development Co.,Ltd.,Tianjin 300384,China)
出处
《地理空间信息》
2023年第2期113-118,共6页
Geospatial Information
基金
天津市重点研发计划科技支撑重点项目(18YFYSZC00120)。
关键词
车载激光点云
背包式激光点云
融合技术
线性内插同名点匹配
同名点
vehicle-bornelaser pointcloud
backpack laser pointcloud
fusion technology
linear interpolation samename point matching
samepoint
