基于倾斜摄影测量的公路路面损坏快速判定方法研究  

Research on the method for rapid detection of road surface damage based on oblique photogrammetry

作　　者：张伟 ZHANG Wei(Fujian Hongwan Engineering Management Co.,Ltd.,Quanzhou,Fujian 362046,China)

机构地区：[1]福建省鸿湾工程管理有限公司,福建泉州362046

出　　处：《测绘标准化》2024年第4期105-110,共6页Standardization of Surveying and Mapping

摘　　要：传统的路面损坏检测方法通常需要大量的人工参与,且检测速度慢,精度低。随着无人机的快速发展,倾斜摄影测量技术展现出了数据采集面广、成果精度高的优势,为快速、准确地进行公路路面损坏鉴定提供了一个全新的思路。为验证基于倾斜摄影测量的公路路面损坏快速鉴定的准确性与适用性,本文以泉州台商投资的“五纵五横”道路骨架网之一的南北大道作为试验区域,开展倾斜摄影测量,利用生成的三维模型和正射影像成果自动提取公路路面损坏信息,并与传统的道路检测方式进行对比。结果表明,相较于传统的道路检测方案,该方法能够在不接触地面的情况下,快速、准确地完成公路路面的损坏判定,显著地提高了效率,保障了人员安全。Traditional road damage detection methods often need a great manual labor,and it is slow and poor accuracy.With the rapid development of UAV,the advantages of oblique photogrammetry technology in accurate data collection in large area provide a new idea for rapid and accurate detection of road surface damage.To verify the accuracy and applicability of the method for rapid detection of road surface damage based on oblique photogrammetry,this paper takes the North South Avenue,one of the"Five Verticals and Five Horizontals"road skeleton networks in Quanzhou Taiwan residents. Investment Zone,as the testing area,it performes oblique photogrammetry compared with traditional methods,and automatically extract information on road surface damage by using the generated 3D model and orthophoto results.The results show that compared to traditional road detection methods,the mentioned method can rapidly and accurately detect the damage to the road surface without touching the ground,it significantly improves the efficiency and ensures personnel safety.

关 键 词：路面损坏 倾斜摄影测量 三维模型 自动提取 

分 类 号：P231[天文地球—摄影测量与遥感]