测绘通报 ›› 2021, Vol. 0 ›› Issue (6): 93-97.doi: 10.13474/j.cnki.11-2246.2021.0183

• 技术交流 • 上一篇    下一篇

一种由粗到精的边坡形变检测方法

荣延祥1, 龚正2, 陈泽权3, 杨必胜3   

  1. 1. 深圳地质建设工程公司, 广东 深圳 518023;
    2. 深圳地质局, 广东 深圳 518023;
    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:2021-03-03 发布日期:2021-06-28
  • 作者简介:荣延祥(1966—),男,教授级高级工程师,主要从事城市工程测量的相关技术研究及生产。E-mail:820292249@qq.com
  • 基金资助:
    深圳地质建设工程公司应急抢险检测项目(SZJ-KY-202005)

A coarse-to-fine method for slope deformation detection

RONG Yanxiang1, GONG Zheng2, CHEN Zequan3, YANG Bisheng3   

  1. 1. Shenzhen Geology & Construction Company, Shenzhen 518023, China;
    2. Shenzhen Geology Bureau, Shenzhen 518023, China;
    3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2021-03-03 Published:2021-06-28

摘要: 现代化工程建设的过程会形成很多边坡,而这些边坡一旦遭到意外破坏,会对人民的生命财产安全造成巨大威胁。因此,对边坡进行持续的形变检测至关重要。地面激光扫描技术(TLS)是一种现代化的边坡检测手段。基于此,本文提出了一种由粗到精的边坡形变检测方法。对于经过良好配准的两期边坡点云,该方法首先计算两期点云的最近匹配点距离,并进行粗检测。在精检测阶段,首先估计出形变的大致方向;然后依据该方向向量搜寻快速点特征直方图(FPFH)最相似的点作为对应点;最后计算点到对应点所在平面的距离值作为形变量。试验表明,本文方法可以有效计算出边坡实际的形变量,具有实用价值。

关键词: 边坡, TLS点云, 形变检测, FPFH, 由粗到精

Abstract: Many slopes will be formed during modern engineering construction, and once these slopes are accidentally damaged, they will pose a great threat to public live and property. Therefore, continuous deformation detection of theslope is very important. TLS is a modern slope detection method. Based on TLS, this paper proposes a coarse-to-fine method for slope deformation detection. For the two-stage slope point clouds after good registration, the distance between the nearest matching points of the two-stage point clouds is calculated, and then rough detection is carried out. During the precise detection, the general direction of deformation is estimated firstly, and then the point withthe largest FPFH is searched as the corresponding point according to the direction vector. Finally, the distance from the point to the plane where the corresponding point is located is calculated as the deformation. Experiments show that the proposed method can effectively calculate the actual deformation of the slope, and it is practical.

Key words: slope, TLS point cloud, deformation detection, FPFH, coarse-to-fine

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