基于逐点前进法的点云数据精简  

Point cloud data simplification based on point-by-point advancing method

作　　者：何宽[1,2] 孙瑞 官云兰[3] 曾晨曦[4] HE Kuan;SUN Rui;GUAN Yunlan;ZENG Chenxi(Yellow River Conservancy Technical Institute,Kaifeng 475004,China;School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,China;East China University of Technology,Nanchang 330013,China;Human Resource Development Center of Natural Resources Ministry,Beijing 100097,China)

机构地区：[1]黄河水利职业技术学院,河南开封475004 [2]河南理工大学测绘与国土信息工程学院,河南焦作454003 [3]东华理工大学,江西南昌330013 [4]自然资源部人力资源开发中心,北京100097

出　　处：《测绘通报》2022年第9期167-169,共3页Bulletin of Surveying and Mapping

摘　　要：本文在道格拉斯-普克法的基础上提出利用逐点前进法对点云数据进行精简,以兔子的模型为对象进行试验研究。结果表明,逐点前进法对点云数据精简在速度和精简率上与道格拉斯-普克法相比有明显提高。The paper proposes a point-by-point forward method to streamline point cloud data.The experimental research is carried out by the rabbit model,and the results show that the point-by-point forward method is significantly higher in speed and reduction rate than the Douglas-Peucker method in streamlining point cloud data.

关 键 词：地面激光扫描 点云数据 道格拉斯-普克法 逐点前进法 

分 类 号：P237[天文地球—摄影测量与遥感]