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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system
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Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system

机译:AM-CW地面激光扫描仪系统的错误建模,校准和分析

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摘要

A rigorous method for terrestrial laser scanner self-calibration using a network of signalised points is presented. Exterior orientation, object point co-ordinates and additional parameters are estimated simultaneously by free network adjustment. Spherical co-ordinate observation equations are augmented with a set of additional parameters that model systematic errors in range, horizontal direction and elevation angle. The error models include both physically interpretable and empirically identified components. Though the focus is on one particular make and model of AM-CW scanner system, the Faro 880, the mathematical models are formulated in a general framework so their application to other instruments only requires selection of an appropriate set of additional parameters. Results from controlled testing show that significant improvement is achieved by using the proposed model in terms of both reducing the magnitude of observational residuals as well as the three-dimensional positioning accuracy of signalised points. Ten self-calibration datasets captured over the course of 13 months are used to examine short- and long-term additional parameter stability via standard hypothesis testing techniques. Detailed investigations into correlation mechanisms between model parameters accompany the self-calibration solution analyses. Other contributions include an observation model for incorporation of integrated inclinometer observations into the self-calibration solution and an effective a priori outlier removal method. The benefit of the former is demonstrated to be reduced correlation between exterior orientation and additional parameters, even if inclinometer precision is low. The latter is arrived at by detailed analysis of the influence of incidence angle on range.
机译:提出了一种使用信号点网络进行地面激光扫描仪自校准的严格方法。通过免费的网络调整,可以同时估算外观方向,对象点坐标和其他参数。球形坐标观测方程式通过一组附加参数进行了扩充,这些附加参数对范围,水平方向和仰角的系统误差进行建模。误差模型包括物理上可解释的和凭经验确定的组件。尽管重点是AM-CW扫描仪系统的特定制造商和型号Faro 880,但数学模型是在通用框架中制定的,因此将其应用于其他仪器仅需要选择一组适当的附加参数。受控测试的结果表明,通过使用建议的模型,在减少观测残差的大小以及信号化点的三维定位精度方面都取得了显着改善。在13个月的过程中捕获了十个自校准数据集,用于通过标准假设测试技术检查短期和长期的其他参数稳定性。对模型参数之间的相关机制的详细研究与自校准解决方案分析一起进行。其他贡献包括将集成测斜仪观测值合并到自校准解决方案中的观测模型,以及有效的先验异常值去除方法。事实证明,前者的好处是即使倾斜仪的精度较低,也可以减少外部方向与其他参数之间的相关性。后者是通过对入射角对射程影响的详细分析得出的。

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