Self-calibration method for pulse-3D terrestrial laser scanner based on least-square collocation

GUO Xian-tao; JIA Yan

doi:10.37188/OPE.20212904.0665

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Self-calibration method for pulse-3D terrestrial laser scanner based on least-square collocation

Modern Applied Optics | 更新时间：2026-09-11

- Self-calibration method for pulse-3D terrestrial laser scanner based on least-square collocation
- Optics and Precision Engineering Vol. 29, Issue 4, Pages: 665-673(2021)
- 作者机构：
  
  南京邮电大学地理与生物信息学院，江苏南京 210023
- 作者简介：
  
  E-mail： 1683430858@qq.com
- 基金信息：
- DOI：10.37188/OPE.20212904.0665
  CLC： P204
- Received：24 September 2020，
  
  Revised：2020-11-18，
  
  Published：15 April 2021
- 稿件说明：
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郭献涛,贾燕.基于最小二乘配置的地面三维脉冲激光扫描仪自检校[J].光学精密工程,2021,29(04):665-673.

GUO Xian-tao,JIA Yan.Self-calibration method for pulse-3D terrestrial laser scanner based on least-square collocation[J].Optics and Precision Engineering,2021,29(04):665-673.
郭献涛,贾燕.基于最小二乘配置的地面三维脉冲激光扫描仪自检校[J].光学精密工程,2021,29(04):665-673. DOI： 10.37188/OPE.20212904.0665.

GUO Xian-tao,JIA Yan.Self-calibration method for pulse-3D terrestrial laser scanner based on least-square collocation[J].Optics and Precision Engineering,2021,29(04):665-673. DOI： 10.37188/OPE.20212904.0665.

摘要

针对地面三维脉冲激光扫描仪传统自检校方法中参数高相关性制约参数估计可靠性的不足，基于最小二乘配置方法与全站仪误差模型，提出一种地面三维脉冲激光扫描仪自检校方法。该方法通过对估计参数配置相关先验权重信息柔性定义检校网基准，把所有参数都作为检校平差中的观测值实施处理，同时对检校网进行优化设计，并联合等价权鲁棒估计实施自检校粗差检验与方差分量估计，有效降低了参数估计间的相关性，提高了检校的可靠性。基于扫描仪Leica scan station的模拟实验结果表明，该方法实现了大多数参数间的低相关性高精度估计，其中仅视准轴误差与扫描仪方位间的相关性（约为0.8）较为显著，但该相关性在4站扫描设计下得到了有效控制（下降到0.5）。

Abstract

To solve the problem of high correlation of parameters that restricts the reliability of the estimated parameters in the traditional self-calibration methods for pulse-terrestrial laser scanner， a novel self-calibration method is proposed based on the least square collocation method. An error model for total station has also been proposed. Using the calibration method， the calibration network benchmark can be flexibly defined by configuring the relevant prior weight information for the estimated parameters， and all the parameters are considered as observation values in the self-calibration adjustment. Additionally， by designing appropriate calibration network configuration and adopting the robust estimate with equivalent weight matrix to perform gross error detection and variance component estimation， this method effectively reduced the correlation between the estimated parameters and improved the reliability of self-calibration. Finally， the simulation results of Leica scan station showed that the proposed method can achieve low correlation and high-precision estimation of most parameters. The only significant correlation was between the parameters of collimation error and scanner azimuth （approximately 0.8； however， this correlation was effectively reduced to 0.5） in the four-station scanning design.

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references

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