摘要
研究通过无人机摄影测量和三维重建技术,提出了一种用于大坝结构健康监测与检测的高效方法。采用无人机对大坝表面进行勘测,生成低成本的数字摄影测量,实时记录大坝的特征。运用结构运动(Structure fromMotion,SfM)和图像处理算法,构建了大坝的三维模型,同时通过点云比较对模型进行精度分析。选用了2款无人机平台,分别为DJI M210和DJI PHANTOM 4 PRO,搭载光学传感器进行图像采集。使用Agisoft PhotoScan Professional软件进行摄影测量处理,通过捆绑调整优化方法提高模型精度。在紧急监测方面,提出了使用边缘GCP的方法,以提高效率和可行性。
This paper proposes an efficient method for monitoring and detecting the health of dam structures through drone photogrammetry and 3D reconstruction technology.It uses drones to survey the surface of the dam,generate low-cost digital photogrammetry,and record the characteristics of the dam in real time.It uses Structure from Motion(SfM)and image processing algorithms to construct a three-dimensional model of the dam,and analyzes the accuracy of the model through point cloud comparison.This article uses two drone platforms,DJI M210 and DJI PHANTOM 4 PRO,equipped with optical sensors for image acquisition.It uses Agisoft PhotoScan Professional software for photogrammetric processing and improves model accuracy through bundled adjustment optimization methods.In terms of emergency monitoring,the method of using edge GCP has been proposed to improve efficiency and feasibility.
作者
黄呈均
HUANG Chengjun(Shenzhen Water Engineering Testing Co.,Ltd.,Shenzhen 518000,China)
出处
《云南水力发电》
2024年第11期43-48,共6页
Yunnan Water Power
