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使用智能手机嵌入式传感器测量乳房高度的高精度直径
Wang Xiang1, Songlin Fei2, Song Zhang1
1School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了一种使用iPhone 13 Pro的新方法来估计乳房高度的树直径 (DBH). 这种新的方法利用内置的LiDAR和RGB传感器进行准确和用户友好的森林测量.
科学领域:
- 森林管理
- 遥感技术
- 计算机视觉
背景情况:
- 准确的树木直径在胸高 (DBH) 估计对于森林库存和管理至关重要.
- 传统的DBH测量方法可能耗时,需要专门的工具.
- 移动传感器技术的进步为更容易获得的森林测量解决方案提供了潜力.
研究的目的:
- 开发和验证使用iPhone 13 Pro集成的LiDAR和RGB传感器估计树DBH的新方法.
- 提高森林环境中DBH测量的准确性和现场可用性.
- 展示使用消费级移动设备来精确测量森林的可行性.
主要方法:
- 一个快照捕获深度 (LiDAR) 和RGB图像,生成树的3D点云.
- 从点云估计干部的方向,以准确地定位乳房高度 (1.3米).
- 最初的DBH估计使用几何关系,并通过预先计算的查找表 (LUT) 改进以提高准确性.
主要成果:
- 该方法实现了0.53厘米的平均绝对误差 (MAE) 和0.63厘米的根平均平方误差 (RMSE).
- 在各种大小的树木和捕获距离 (0. 25米至5米) 中,成功估计了DBH.
- 这种方法在捕捉角度的变化中被证明是可靠的,而不依赖于用户的定位.
结论:
- iPhone 13 Pro 的 LiDAR 和 RGB 传感器为准确和高效的树 DBH 估计提供了可行的工具.
- 这项技术可显著提高森林库存和管理应用的现场可用性.
- 开发的方法代表了传统森林测量技术的成本效益和可访问的替代方案.
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