首页> 外文会议>International Conference on Sensors Models in Remote Sensing Photogrammetry >COMPARISON OF TARGET- AND MUTUAL INFORMATON BASED CALIBRATION OF TERRESTRIAL LASER SCANNER AND DIGITAL CAMERA FOR DEFORMATION MONITORING
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COMPARISON OF TARGET- AND MUTUAL INFORMATON BASED CALIBRATION OF TERRESTRIAL LASER SCANNER AND DIGITAL CAMERA FOR DEFORMATION MONITORING

机译:基于目标和相互信息的校正校正陆地激光扫描仪和数码相机变形监测的比较

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In the current state-of-the-art, geodetic deformation analysis of natural and artificial objects (e.g. dams, bridges,...) is an ongoing research in both static and kinematic mode and has received considerable interest by researchers and geodetic engineers. In this work, due to increasing the accuracy of geodetic deformation analysis, a terrestrial laser scanner (TLS; here the Zoller+Frohlich IMAGER 5006) and a high resolution digital camera (Nikon D750) are integrated to complementarily benefit from each other. In order to optimally combine the acquired data of the hybrid sensor system, a highly accurate estimation of the extrinsic calibration parameters between TLS and digital camera is a vital preliminary step. Thus, the calibration of the aforementioned hybrid sensor system can be separated into three single calibrations: calibration of the camera, calibration of the TLS and extrinsic calibration between TLS and digital camera. In this research, we focus on highly accurate estimating extrinsic parameters between fused sensors and target- and targetless (mutual information) based methods are applied. In target-based calibration, different types of observations (image coordinates, TLS measurements and laser tracker measurements for validation) are utilized and variance component estimation is applied to optimally assign adequate weights to the observations. Space resection bundle adjustment based on the collinearity equations is solved using Gauss-Markov and Gauss-Helmert model. Statistical tests are performed to discard outliers and large residuals in the adjustment procedure. At the end, the two aforementioned approaches are compared and advantages and disadvantages of them are investigated and numerical results are presented and discussed.
机译:在目前的最先进的自然和人造物体(例如水坝,桥梁,...)的大地测量变形分析是静态和运动模式的持续研究,并由研究人员和大地测量工程师获得了相当大的兴趣。在这项工作中,由于提高了大地测量变形分析的准确性,陆地激光扫描仪(TLS;这里,Zoller + Frohlich Imager 5006)和高分辨率数码相机(尼康D750)被整合到彼此互补。为了最佳地结合混合动力传感器系统的获取数据,在TLS和数码相机之间的外部校准参数的高度精确估计是一个重要的初步步骤。因此,上述混合传感器系统的校准可以分为三个单次校准:相机校准,TLS的校准和TLS和数码相机之间的外在校准。在这项研究中,我们专注于融合传感器和目标 - 和基于目标的靶向和靶向和靶向和互相信息)之间的高度准确的估算。在基于目标的校准中,利用不同类型的观察(图像坐标,用于验证的TLS测量和激光跟踪器测量),并且应用方差分量估计来最佳地为观察分配足够的权重。使用Gauss-Markov和Gauss-Helmert模型解决了基于共线性方程的空间切除束调节。进行统计测试以丢弃调整过程中的异常值和大残留物。最后,比较了两种上述方法,并研究了它们的优点和缺点,并提出并讨论了数值结果。

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