一种无人机基于视觉的变形监测方法,具有3D尺度约束
Jianlin Liu1,2, Jun Wu3, Wujiao Dai2
1National Engineering Research Center of High-Speed Railway Construction Technology, Changsha 410075, China.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本研究介绍了一种3D尺度约束方法,用于无人机 (UAV) 基于视觉的变形监测,提高大面积的精度. 新方法显著提高了水平,高度和整体3D变形监测精度.
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).
- 地质监测监测 地质监测监测
背景情况:
- 基于无人机视觉的3D变形监测面临的准确性挑战是由于低质量的图像和不精确的控制点,导致尺度差异.
- 现有的方法在调查模型和现实条件之间的尺度差异上扎,影响大规模监测的精度.
研究的目的:
- 开发一个空间3D尺度,用于无人机监控中的高精度尺度信息.
- 提出一种基于无人机视觉的变形监测方法,采用3D尺度约束来提高准确性.
主要方法:
- 开发一种新的空间3D尺度,以提供准确的尺度参考.
- 实施基于无人机视觉监控技术,整合这些3D尺度约束.
主要成果:
- 拟议的方法显示,与传统的控制点方法相比,该方法的准确性得到了显著的改善.
- 在四个无人机操作阶段实现了38.6% (水平) 和48.1% (高度) 的RMSE改进率.
- 在7个阶段的3D变形精度 (RMSE) 中保持了大约42.3%的改进.
结论:
- 开发的3D尺度约束方法有效地提高了基于UAV视觉的3D变形监测的准确性.
- 该方法在大规模调查区域中被证明是可靠的,克服了低质量的图像和控制点的局限性.
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