测绘通报 ›› 2019, Vol. 0 ›› Issue (4): 99-102.doi: 10.13474/j.cnki.11-2246.2019.0122

• 技术交流 • 上一篇    下一篇

地面激光点云与航空影像相结合的滑坡监测

王庆国1, 赵海2, 李健平3   

  1. 1. 武汉科技大学汽车与交通工程学院, 湖北 武汉 430065;
    2. 长江勘测规划设计研究院, 湖北 武汉 430010;
    3. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
  • 收稿日期:2018-12-19 修回日期:2019-01-29 出版日期:2019-04-25 发布日期:2019-05-07
  • 作者简介:王庆国(1974-),男,博士,副教授,主要从事数字测绘与GIS方面的教学与研究。E-mail:qgwang_123@163.com
  • 基金资助:

    国家自然科学基金(41571396)

Landslide monitoring by merging ground laser point cloud and aerial image

WANG Qingguo1, ZHAO Hai2, LI Jianping3   

  1. 1. School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China;
    2. Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China;
    3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2018-12-19 Revised:2019-01-29 Online:2019-04-25 Published:2019-05-07

摘要:

面向云南某水电站滑坡监测的实际需求,提出了将地面激光点云数据和航空影像相结合的滑坡监测方法。首先,通过数据配准,实现地面激光点云数据和航空影像数据的融合统一;然后,通过数据去噪与地表模型重建建立监测的数据基准;最后,通过基于地表模型的整体变形分析和基于剖面的采样分析,对滑坡区域的变形规律进行研究。通过对已经获取的5期监测数据的分析表明,本文提出的监测方法具有较高的监测精度和很好的适用性。

关键词: 滑坡监测, 三维激光扫描技术, 摄影测量, 点云数据, 航空影像

Abstract:

Aiming at the actual needs of landslide monitoring for a hydroelectric power station in Yunnan, this paper proposes a landslide monitoring method that merges ground laser point cloud data and aerial imagery. Firstly, data registration is used to realize the fusion and integration of ground laser point cloud and aerial image. Then, through data noise removing and surface model reconstruction, the monitoring data benchmark is established. Finally, the deformation law of the landslide area is studied by the overall deformation analysis based on the surface model and the sampling analysis based on the profile. Based on the five monitoring data that have been obtained, it shows that the monitoring method proposed in this paper has high monitoring accuracy and good applicability.

Key words: landslide monitoring, 3D laser scanning technology, photogrammetry, point cloud data, aerial image

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