在无人机基裂纹检查中对成像分辨率,操作参数和测量不确定性的探索性研究
Suk Bae Lee1, Dong Ha Lee2, Jisung Kim3
1Department of Civil & Infrastructure Engineering, College of Construction and Environmental Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
无人驾驶飞行器 (UAV) 裂纹检查由于解决方案权衡而面临效率限制. 这项研究揭示了薄裂的显著像素级不确定性,影响了准确的解释和检查计划.
科学领域:
- 土木工程 土木工程是指土木工程.
- 地理空间技术是什么
- 结构健康监测 结构健康监测
背景情况:
- 无人机对于检查民用基础设施至关重要.
- 从无人机图像中解释裂纹在平衡分辨率,效率和准确性方面提出了挑战.
- 更高分辨率的成像通常会导致数据处理的增加和运营效率的降低.
研究的目的:
- 对基于无人机的裂检查进行以测量为导向的分析.
- 探索飞行参数,图像采集和处理力度之间的关系.
- 为了调查接近分辨率极限的裂纹厚度表示中的像素级不确定性.
主要方法:
- 在受控条件下进行了实证无人机飞行实验.
- 研究了飞行距离,地面采样距离 (GSD),图像数量和处理力度之间的关系.
- 基于数据集的细分分析评估了裂纹表示的像素级不确定性.
主要成果:
- 飞行距离和GSD显示出预期的几何相关性.
- 图像数量和处理力度受复杂的,相互影响的因素的影响,而不仅仅是分辨率.
- 由少数像素表示的薄裂显示出相当大的细分不确定性.
结论:
- 基于无人机的裂纹检查需要仔细考虑测量不确定性和操作权衡.
- 基于图像的裂纹解释存在内在的局限性,特别是在细裂纹特征方面.
- 优化无人机检查策略需要了解这些依赖于分辨率的不确定性.
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