基于使用智能手机的三维重建,自动测量树的高度
Yulin Shen1, Ruwei Huang1, Bei Hua1
1School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
一个新的智能手机应用程序使用3D重建来准确测量树的高度. 这种自动化方法通过避免复杂的校准来简化森林库存,达到3.20%的平均误差.
科学领域:
- 林业科学 林业科学
- 计算机视觉 计算机视觉
- 遥感 遥感 遥感 遥感
背景情况:
- 树木的高度对于森林库存,库存量和生长评估至关重要.
- 基于智能手机的近距离摄影仪表提供了低成本,非破坏性的测量,但具有操作限制.
- 现有的方法需要特定的摄像头角度,距离和拍摄前校准,这在自然环境中带来了挑战.
研究的目的:
- 开发一种自动化和高效的树木高度测量方法,使用基于智能手机的3D重建.
- 为了克服在复杂的森林环境中传统光谱的操作不便.
- 为了实现适用于森林调查的准确树木高度测量.
主要方法:
- 使用ARCore和Midas.Net生成绝对深度地图.
- 一个改进的Attention-UNet模型结合了深度地图来生成精确的树木面具.
- 彩色图像和深度地图被合并为3D点云生成,随后是树点云提取.
- 树的高度是通过分析提取的树点云的轴对齐的边界框来确定的.
主要成果:
- 开发的方法被集成到一个高效和自动化的Android应用程序中.
- 该方法表现出高精度,平均相对误差为3.20%.
- 在实际射击距离范围为2至17米的范围内获得了准确的测量.
结论:
- 拟议的3D重建方法为树木高度测量提供了实用和自动化的解决方案.
- 该方法满足了森林调查的准确性要求,提高了效率并减少了操作复杂性.
- 基于智能手机的3D重建为传统森林库存技术提供了可行的替代方案.
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