飞行路径设置和数据质量评估用于无人机-空中-车辆-基于摄像度的桥梁甲板文档
Siyuan Chen1,2, Xiangding Zeng3, Debra F Laefer2,4
1School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang 414015, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
为3D点云模型优化无人机 (UAV) 数据收集需要仔细选择参数. 飞行高度和摄像头角度显著影响数据密度和统一性,没有单一的参数设置是普遍最佳的.
科学领域:
- 地理学工程 工程地质学
- 这是一种摄影计量技术 (photogrammetry).
- 遥感 遥感 遥感 遥感
背景情况:
- 无人机 (UAV) 越来越多地用于生成3D点云模型.
- 数据质量取决于飞行参数,如高度,摄像头角度和重叠率.
- 当前的方法往往涉及冗余的数据收集,增加时间和处理需求.
研究的目的:
- 调查无人机飞行参数与3D点云模型质量之间的关系.
- 提出并应用一套七个指标来评估数据质量和效率.
- 为了确定各种数据收集目标的最佳飞行参数.
主要方法:
- 利用无人机 (UAV) 的图像进行3D点云生成.
- 提出了七个指标:总积分,平均积分密度,均性,收益率,覆盖范围,几何精度和时间效率.
- 在实地测试的数据收集策略在一个全尺寸的结构.
主要成果:
- 无人机高度和摄像头角度是数据密度和统一性的主要驱动因素.
- 至少66%的重叠率被确定为成功的3D重建所必需的.
- 多个飞行路径增强了当地的几何精度,而不是增加了重叠;由于处理文物,77%的重叠产生了最高的覆盖率.
结论:
- 没有一个单一的无人机飞行参数集是所有数据收集目标的最佳选择.
- 了解飞行路径参数的影响对于有效和高质量的无人机数据采集至关重要.
- 战略飞行规划对于最大化无人机衍生3D模型的实用性至关重要.
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