摄影测量辅助的机载激光扫描仪点云条带调整

Guoyuan Li, G. Su
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引用次数: 2

摘要

机载激光雷达在城市三维建模、测绘等领域受到越来越多的关注。激光扫描仪点云条带平差在机载激光雷达的处理和应用中起着非常重要的作用。本文对机载激光扫描仪点云条带平差的几种传统算法进行了综述和对比,并在此基础上提出了一种基于目标空间匹配的新方法,该方法利用摄影测量图像和相关信息,如外部方向参数EOP、内部方向参数IOP和垂直直线轨迹VLL。该算法采用包含两条带激光点云和同一区域摄影测量图像的数据集来实现。实验结果验证了该方法的有效性,并对今后的工作和研究方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Airborne laser scanner point clouds strip adjustment aided by photogrammetry
Airborne LIDAR has obtained more and more attention, especially in the field of 3-D city modeling, surveying and mapping. Laser Scanner Point Clouds strip adjustment plays a very important role in the processing and application of Airborne LIDAR. In this paper, some conventional algorithms of the airborne laser scanner point clouds strip adjustment are reviewed and contrasted, then a new method using the photogrammetric images and relative information such as the EOP(exterior orientation parameters) and IOP(interior orientation parameters)and VLL (Vertical Line Locus)based on object space matching method is introduced. A certain dataset which contains two strips of laser point clouds and the same region photogrammetric images is used to implement the algorithm. The result of experiment validates this method and future work and research direction is discussed.
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