朱赞 甘淑 王建琦 等 |《测绘学报（英文版）》（JGGS）精选论文

Journal of Geodesy and Geoinformation Science

构建与学术的桥梁        拉近与权威的距离

🔷Title l 题目

A Novel Airborne 3D Laser Point Cloud Hole Repair Algorithm Considering Topographic Features

🔷Citation l 引文格式

Zan ZHU, Shu GAN, Jianqi WANG, Nijia QIAN. A Novel Airborne 3D Laser Point Cloud Hole Repair Algorithm Considering Topographic Features[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(3): 29-38.DOI: 10.11947/ j.JGGS.2020.0303.

🔷Abstract l 摘要

Hole repair processing is an important part of point cloud data processing in airborne 3-dimensional (3D) laser scanning technology. Due to the fragmentation and irregularity of the surface morphology, when applying the 3D laser scanning technology to mountain mapping, the conventional mathematical cloud-based point cloud hole repair method is not ideal in practical applications. In order to solve this problem, we propose to repair the valley and ridge line first, and then repair the point cloud hole. The main technical steps of the method include the following points: First, the valley and ridge feature lines are extracted by the GIS slope analysis method; Then, the valley and ridge line missing from the hole are repaired by the mathematical interpolation method, and the repaired results are edited and inserted to the original point cloud; Finally, the traditional repair method is used to repair the point cloud hole whose valley line and ridge line have been repaired. Three experiments were designed and implemented in the east bank of the Xiaobaini River to test the performance of the proposed method. The results showed that compared with the direct point cloud hole repair method in Geomagic Studio software, the average repair accuracy of the proposed method, in the 16m buffer zone of valley line and ridge line, is increased from 56.31cm to 31.49cm. The repair performance is significantly improved.

🔷Key words l 关键词

airborne 3D laser scanning; point cloud hole repair; topographic feature line extraction; mountain mapping

🔷Authors l 作者

Zan ZHU, Shu GAN, Jianqi WANG, Nijia QIAN. 

• Zan ZHU
  

朱赞，男，1994.06生，毕业于昆明理工大学，硕士。现为桂林航天工业学院电子信息与自动化学院教师。主要从事三维激光扫描技术、点云数据处理、精密工程测量、无人机航测与遥感等方面的教学与研究工作。

• Shu GAN
  

甘淑，女，1964年生，毕业于浙江大学，博士。现为昆明理工大学国土资源工程学院教授、博士生导师。长期致力于资源环境遥感、国土资源管理、三维激光扫描技术与自然灾害遥感探测等方面的教学与科研工作。主持完成国家自然科学基金和省部级自然科学基金项目多项。

• Jianqi WANG
  

王建琦，男，1977.03生，毕业于哈尔滨工业大学，博士。现为桂林航天工业学院电子信息与自动化学院教授级高级工程师。主要致力于从事无人机遥测遥感、飞行器控制与系统仿真等方面的研究与教学工作。

🔷全文摘录如下

本文节选自JGGS 2020,Volume 3,Issue 3, p29-38.点击阅读原文即可下载。本期审图号（Map Approval Number）：GS(2020)5241

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