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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >A Noniterative Approach for the Quick Alignment of Multistation Unregistered LiDAR Point Clouds
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A Noniterative Approach for the Quick Alignment of Multistation Unregistered LiDAR Point Clouds

机译：多站未注册LiDAR点云快速对准的非迭代方法

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摘要

A novel approach for aligning multistation unregistered Light Detection and Ranging (LiDAR) point clouds is presented in this letter. It is designed to find the rigid rotations and translations between two data sets using hybrid conjugate features, including points, lines, planes, and groups of points. In addition, the proposed solution is expressed in a closed form, meaning that neither an initial alignment nor an iterative computation is required. Based on the numerical results from a real case study, it has been demonstrated that the proposed approach is capable of giving an efficient and reliable alignment solution. With the aforementioned advantages, the proposed technique can not only be directly implemented in a general analysis of LiDAR surveying data but will also particularly benefit those applications where classical point-based iterative analysis approaches are not practically feasible (e.g., an application without a sufficient number of connecting points).
机译：这封信介绍了一种用于对齐多站未注册光检测和测距（LiDAR）点云的新颖方法。它旨在使用混合共轭特征（包括点，线，平面和点组）找到两个数据集之间的刚性旋转和平移。另外，提出的解决方案以封闭形式表示，这意味着既不需要初始对齐也不需要迭代计算。基于实际案例研究的数值结果，已经证明了所提出的方法能够提供有效且可靠的对准解决方案。具有上述优点，所提出的技术不仅可以直接在LiDAR测量数据的一般分析中实施，而且还将特别有益于经典的基于点的迭代分析方法在实践中不可行的那些应用（例如，没有足够数量的应用）连接点数）。

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