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作 者:曹兵[1] 乔亚奇[1] 姬家泽 Cao Bing;Qiao Yaqi;Ji Jiaze(Nuclear Industry 247th Brigade,North China Geological Exploration Bureau,Tianjin 301800,China)
机构地区:[1]天津华北地质勘查局核工业二四七大队,天津301800
出 处:《黑龙江科学》2023年第16期119-121,共3页Heilongjiang Science
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.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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