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Registration of Optical Images with Lidar Data and Its Accuracy Assessment

机译:利用激光雷达数据对光学图像进行配准及其精度评估

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摘要

Photogrammetry and lidar are two technologies complementary for 3D reconstruction. However, the problem is that the current registration methods of optical images with lidar data cannot satisfy all the requirements for the fusion of the above two technologies, especially for close-range photogrammetry and terrestrial lidar. In this paper, we propose a novel method for registration of optical images with terrestrial lidar data, which is implemented by minimizing the distances from the photogrammetricmatching points to terrestrial lidar data surface, with the collinearity equation as the basic mathematical model. One advantage of this method is that it requires no feature extraction and segmentation from the lidar data. Another advantage is that non-rigid deformation caused by lens distortion can be eliminated through the use of bundle adjustment similar to self-calibration. In addition, experiments with two different data sets show that this method cannot only eliminate the influence of certain gross errors, but also offer a high accuracy of 3 mm to 5 mm. Therefore, the proposed registration method is proved to be more effective, accurate, and reliable.
机译:摄影测量和激光雷达是3D重建的两种补充技术。然而,问题在于当前的具有激光雷达数据的光学图像配准方法不能满足上述两种技术融合的所有要求,特别是对于近距离摄影测量法和地面激光雷达。在本文中,我们提出了一种新的用地面激光雷达数据配准光学图像的方法,该方法是通过以共线性方程为基本数学模型,最小化摄影测量匹配点到地面激光雷达数据表面的距离来实现的。这种方法的一个优点是它不需要从激光雷达数据中提取特征和进行分割。另一个优点是,可以通过使用类似于自校准的束调节来消除由镜片变形引起的非刚性变形。此外,使用两个不同数据集的实验表明,该方法不仅可以消除某些总体误差的影响,而且可以提供3毫米至5毫米的高精度。因此,证明了所提出的注册方法更加有效,准确和可靠。

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