移动地面激光扫描仪对林木作物的精度评估

F. Karp, A. Colaço, R. Trevisan, J. Molin
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引用次数: 2

摘要

激光雷达技术是收集许多作物冠层几何空间数据的一种选择。然而,该数据采集方法存在许多与LiDAR传感器、GNSS接收机和数据采集装置相关的误差。因此,本研究的目的是评估移动地面激光扫描仪(MTLS)数据采集所涉及的误差。在两种不同的测试中,使用开发的MTLS扫描规则形状的物体:i)系统安装在车辆上,ii)系统安装在运行在轨道上的平台上。圆形、正方形和三角形物体的面积估计误差在0.001 ~ 0.071 m²之间。对于圆柱体和截锥体,体积估计误差在0.0003 ~ 0.0017 m³之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy assessment of a mobile terrestrial laser scanner for tree crops
LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors involved in the data acquisition from a mobile terrestrial laser scanner (MTLS). Regular shaped objects were scanned with a developed MTLS in two different tests: i) with the system mounted on a vehicle and ii) with the system mounted on a platform running over a rail. The errors of area estimation varied between 0.001 and 0.071 m² for the circle, square and triangle objects. The errors on volume estimations were between 0.0003 and 0.0017 m³, for cylinders and truncated cone.
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