In-flight photogrammetric camera calibration and validation via complementary lidar
In-flight photogrammetric camera calibration and validation via complementary lidar
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DOI：
10.1016/j.isprsjprs.2014.04.019
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发表时间：
2015-02-01
影响因子：
12.7
通讯作者：
Miller, P. E.
中科院分区：
文献类型：
--
作者：
Gneeniss, A. S.;Mills, J. P.;Miller, P. E.
本研究假设激光雷达作为参考数据集，可以对飞行中的相机系统进行校准和验证。该方法利用一个强大的最小二乘表面匹配算法，对准一个密集的网络摄影测量点的激光雷达参考表面，允许自动提取所谓的激光雷达控制点（LCP）。然后在具有附加参数的自校准光束法平差中使用提取的LCP重复摄影测量数据的平差。使用两种不同的摄影测量数据集，Microsoft UltraCamX大画幅相机和Applanix DSS322中画幅相机测试了这种方法。系统的敏感性测试探讨了LCP的数量和权重的影响。对于这两个相机块，发现当控制点的数量增加时，精度提高，而不管点加权。校准结果进行了比较，获得使用地面控制点，两者之间有很好的协议。(C)2014年国际摄影测量与遥感学会（摄影测量和遥感学会）。Elsevier B.V.出版，保留所有权利。
This research assumes lidar as a reference dataset against which in-flight camera system calibration and validation can be performed. The methodology utilises a robust least squares surface matching algorithm to align a dense network of photogrammetric points to the lidar reference surface, allowing for the automatic extraction of so-called lidar control points (LCPs). Adjustment of the photogrammetric data is then repeated using the extracted LCPs in a self-calibrating bundle adjustment with additional parameters. This methodology was tested using two different photogrammetric datasets, a Microsoft UltraCamX large format camera and an Applanix DSS322 medium format camera. Systematic sensitivity testing explored the influence of the number and weighting of LCPs. For both camera blocks it was found that when the number of control points increase, the accuracy improves regardless of point weighting. The calibration results were compared with those obtained using ground control points, with good agreement found between the two. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.