摘要
植被密集区域由于遮挡严重、人员难涉足,利用传统的GPS-RTK测量手段进行数字高程模型(DEM)测绘时存在工作量大、成本高、成果精度低等问题。以某实际工程为例,应用机载LiDAR建立植被密集区域DEM生成方法,对外业LiDAR点云数据采集、点云自动分类及人工分类流程进行分析。结果表明,该技术可高效建立困难地区的高质量DEM,对复杂区域数字化测图具有重要的参考价值。
Due to the serious occlusion and lack of staff in densely vegetated areas,it is difficult for personnel to enter.The traditional GPS-RTK surveying method has the limitations of heavy workload,high cost and low accuracy in digital elevation model(DEM)surveying and mapping.Through taking a practical project as an example,the study studies the DEM method of vegetated dense area with airborne LiDAR;and analyzes LiDAR point cloud data acquisition,point cloud automatic classification and manual classification process.The results show that this technology can effectively build high-quality DEM in difficult areas,and has important reference value for digital mapping of complex areas.
作者
曹兵
乔亚奇
姬家泽
Cao Bing;Qiao Yaqi;Ji Jiaze(Nuclear Industry 247th Brigade,North China Geological Exploration Bureau,Tianjin 301800,China)
出处
《黑龙江科学》
2023年第16期119-121,共3页
Heilongjiang Science