测绘通报 ›› 2024, Vol. 0 ›› Issue (11): 151-155.doi: 10.13474/j.cnki.11-2246.2024.1126

• 技术交流 • 上一篇    

多源点云融合技术在城市更新数据采集中的应用

牟翠伟, 王召泽   

  1. 济南市房产测绘研究院, 山东 济南 250001
  • 收稿日期:2024-06-13 发布日期:2024-12-05
  • 通讯作者: 王召泽,E-mail:119933618@qq.com
  • 作者简介:牟翠伟(1983-),女,高级工程师,研究方向为城市更新、三维不动产测绘、无人机倾斜摄影测量、BIM建模等。E-mail:3760267326@qq.com

Application of multi-source point cloud fusion technology in urban renewal data acquisition

MU Cuiwei, WANG Zhaoze   

  1. Jinan Real Estate Surveying and Mapping Institute, Jinan 250001, China
  • Received:2024-06-13 Published:2024-12-05

摘要: 多源点云融合技术在城市更新数据采集中扮演着越来越重要的角色。该技术通过融合不同设备和传感器获取的点云数据,实现对城市地物的全面、精确感知。在城市更新过程中,采用多源点云数据融合技术,可以快速、高效地获取城市基础空间数据,为城市更新规划、设计和决策提供丰富的空间数据信息。本文通过对使用车载移动测量系统、摩托车载移动测量系统、无人机载移动测量系统和站式三维激光扫描仪等数据采集设备获取的点云数据进行融合处理和分析,快速获取了城市更新所需的各种基础空间数据,进而对该数据的平面坐标精度进行了深入的分析研究,从而推动了该技术在城市更新数据采集中的普及应用,为加快城市更新工作智能化、精细化发展提供了有益帮助。

关键词: 城市更新, 激光点云, 数据融合, 信息提取, 精度

Abstract: Multi-source point cloud fusion technology is playing an increasingly important role in urban renewal data collection. This technology can achieve comprehensive and accurate perception of urban features by integrating point cloud data obtained from different devices and sensors. In the process of urban renewal, the use of multi-source point cloud data fusion technology can quickly and efficiently obtain urban basic spatial data, providing rich spatial data information for urban renewal planning, design, and decision-making. Through the fusion processing and analysis of point cloud data obtained from data collection equipment such as vehicle-mounted mobile measurement systems, motorcycle-mounted mobile measurement systems, drone-mounted mobile measurement systems, and stationary 3D laser scanners, various basic spatial data required for urban renewal can be quickly obtained. Furthermore, an in-depth analysis and research on the accuracy of the data in plane coordinates is carried out, thereby promoting the popularization and application of this technology in urban renewal data collection, and providing beneficial assistance for accelerating the intelligent and fine development of urban renewal work.

Key words: urban renewal, laser point cloud, data fusion, information extraction, accuracy

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