Unmanned aerial vehicles (UAV) are increasingly being used in water supply infrastructure inspection, resulting in a large volume of aerial visual assets (static photographs or videos). How to efficiently extract water channels from such assets for the benefits of hazard detection remains a challenge. This paper provides an aerial video processing approach for the extraction of various water channel structures, which includes a main algorithm based on the registration of video frames into a building information model (BIM), and a complementary algorithm enabled by aerial video spatio-temporal continuity. Experimental results demonstrate the effectiveness of the proposed approach, which can reliably extract water channels with least manual intervention. The results reveal the promise of exploiting readily-available information from BIM to automate aerial video processing. Future research is suggested to further explore the generalizability of the approach concerning variant flight settings and external environments.

无人机（UAV）越来越多地用于供水基础设施检查，导致大量的空中视觉资产（静态照片或视频）。如何有效地从这些资产中提取水道以获得危害检测的好处仍然是一个挑战。本文提供了一种用于提取各种水道结构的航拍视频处理方法，其中包括基于将视频帧注册到建筑信息模型 (BIM) 中的主要算法和基于航拍视频时空连续性的补充算法。 . 实验结果证明了所提出方法的有效性，该方法可以在最少人工干预的情况下可靠地提取水道。结果揭示了利用来自 BIM 的现成信息来自动化航拍视频处理的前景。建议未来的研究进一步探索该方法在变体飞行设置和外部环境方面的普遍性。