Calculation of target-specific point distribution for 2D mobile laser scanners.
Calculation of target-specific point distribution for 2D mobile laser scanners.
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DOI：
10.3390/s140609471
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发表时间：
2014-05-27
期刊：
影响因子：
--
通讯作者：
McCarthy T
中科院分区：
文献类型：
--
作者：
Cahalane C;McElhinney CP;Lewis P;McCarthy T
当前一代移动测绘系统 (MMS) 可在短时间内捕获高密度空间数据。数据量很难预测，因为对不同扫描仪配置和硬件设置针对特定距离的物体所表现出的点密度没有具体的了解。获得所需的点密度会影响测量时间、处理时间、数据存储，也是自动化算法的潜在限制。本文详细介绍了一种计算任何点密度计算所需的地面 MMS 点和剖面信息的新方法。通过应用利用 3D 表面法线和 2D 几何公式的算法，计算出目标上理论上的最佳轮廓间距和点间距。这两个元素都是计算任意对象（例如路标、电线杆或建筑物）点密度的主要因素，这些都是资产管理调查中的重要特征。
The current generation of Mobile Mapping Systems (MMSs) capture high density spatial data in a short time-frame. The quantity of data is difficult to predict as there is no concrete understanding of the point density that different scanner configurations and hardware settings will exhibit for objects at specific distances. Obtaining the required point density impacts survey time, processing time, data storage and is also the underlying limit of automated algorithms. This paper details a novel method for calculating point and profile information for terrestrial MMSs which are required for any point density calculation. Through application of algorithms utilising 3D surface normals and 2D geometric formulae, the theoretically optimal profile spacing and point spacing are calculated on targets. Both of these elements are a major factor in calculating point density on arbitrary objects, such as road signs, poles or buildings-all important features in asset management surveys.
影响因子：
1.3
作者：
Kukko, Antero;Hyyppa, Juha
通讯作者：
Hyyppa, Juha
影响因子：
5
作者：
Gonzalez-Jorge, H.;Riveiro, B.;Arias, P.
通讯作者：
Arias, P.
影响因子：
2.4
作者：
Lichti, DD;Jamtsho, S
通讯作者：
Jamtsho, S