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智能手机辅助的森林激光点云配准

Registering forest laser scanning point cloud with smartphone

  • 摘要: 地面激光扫描获取的精确林下3维信息通常需要将多站扫描点云数据进行配准。为了减少森林激光扫描数据采集时对额外设备或功能的需求,提出了一种使用智能手机定位定向数据的森林激光扫描数据配准方法。首先使用智能手机获取设站点定位信息和起始扫描方向,计算测站间的初始坐标转换参数,然后在初始转换参数基础上构建搜索空间,分别使用树干位置点的水平均方根误差和对应点数目构建两级目标函数,进行转换参数的搜索和筛选,并使用测站间距对树干位置点进行筛选,得到最终配准结果。结果表明,在6对测站上进行的配准实验中,得到平均旋转角误差为4.3′、水平和竖直平移误差分别为8.3 mm和35 mm。本文中的方法可提高配准效率和精度,且具有较高的稳定性,在冠层厚度不超过11.5 m下,智能手机可为森林点云配准提供有效的辅助信息。

     

    Abstract: Accurate 3-D understory information obtained by terrestrial laser scanning usually requires the registration of multi-station scanning point cloud data. In order to reduce the need for additional equipment or functions when collecting forest laser scanning data, a forest laser scanning data registration method using smartphone positioning and orientation data was proposed. Firstly, initial transformation parameters were calculated based on the positioning and orientation from the smartphone. Then search space was generated from the initial transformation parameters, and different parameters were further evaluated by the proposed two-level objective functions using stem positions to obtain final registration result. During the evaluation process, stem positions were filtered by the distance between two scanner positions. The results of the registration test conducted on six pairs of measuring stations showe that the average rotation angle error 4.3′, horizontal and vertical translation errors obtained are 8.3 mm and 35 mm, respectively. The proposed method can improve the registration accuracy and efficiency and has high stability, and smartphone can provide effective auxiliary information for registration with canopy height (less than 11.5 m).

     

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