水资源与水工程学报2024，Vol.35Issue(4)：92-100,110,10.DOI:10.11705/j.issn.1672-643X.2024.04.11
基于无人机巡检与深度学习的河道整治施工进度图像识别
Image recognition of river regulation construction progress based on UAV inspection and deep learning
摘要
Abstract
Long-line river regulation projects such as bank lining and revetment projects are far stretched and scattered with a wide range,resulting in inconvenient transportation for inspection.Besides,conven-tional manual inspection is time-consuming and labor-intensive,which is difficult to grasp the construction progress of the whole project in practice.In view of this,this paper proposes an intelligent construction pro-gress monitoring method of river regulation projects based on unmanned air vehicle(UAV)inspection and deep learning,which can calculate the construction progress by locating construction nodes(i.e.,starting point and ending point of the construction area).Firstly,the object detection model of construction area is established to recognize the construction area of lining and revetment and locate the construction nodes based on UAV aerial photography.Then,SIFT(scale-invariant feature transform)algorithm is used to match the construction nodes in different video frames,and a motion parallax method based on monocular vision is in-troduced to locate the actual work area coordinates of construction nodes.Finally,the current lining con-struction progress is calculated and the progress deviation is analyzed.The results show that the average er-ror of the construction progress is 1.026 m,and the average relative error is 0.74％,indicating that the proposed method can recognize the construction progress of lining and revetment accurately based on the UAV images,thereby achieving full coverage and rapid inspection of long-line projects,timely control of on-site construction progress,and improvement of the intelligent level of engineering management.关键词
河道整治工程/施工进度/无人机巡检/图像识别/目标检测/特征点匹配Key words
river regulation project/construction progress/unmanned air vehicle(UAV)inspection/im-age recognition/object detection/feature point matching分类
建筑与水利引用本文复制引用
刘东海,马子茹,黄斌,刘雅雯,王志岗..基于无人机巡检与深度学习的河道整治施工进度图像识别[J].水资源与水工程学报,2024,35(4):92-100,110,10.基金项目
中国长江三峡集团有限公司企业科研项目(202103551) （202103551）
