摘要
本文系统探讨了车载三维激光扫描系统与航空摄影测量技术的协同应用,提出了一套完整的公路数字高程模型(DEM)构建技术路线。通过多源数据融合、特征提取优化及自动化建模流程设计,有效解决了传统测绘方法在复杂地形适应性差、建模效率低等痛点。实证研究表明,该方法可将外业数据采集时间缩短60%,模型平面精度达到±5 cm,高程精度优于±8 cm,为智慧交通基础设施建设提供了可靠的技术支撑。
The article systematically explores the synergistic application of in-vehicle 3D laser scanning systems and aerial photogrammetry technology,proposes a complete technical route for the construction of digital elevation model(DEM)for highways.By integrating multi-source data,optimizing feature extraction,and designing automated modeling processes it effectively solves the pain points of traditional surveying methods,such as poor adaptability to complex terrain and low modeling efficiency.Empirical studies show that this method can reduce the time field data collection by 60%,and the model's plane accuracy reaches±5 cm,with elevation accuracy better than±8 cm,providing reliable technical support for the of smart transportation infrastructure.
作者
范小盈
Fan Xiaoying(China Railway First Survey and Design Institute Group Co.,Ltd.Institute of Photogrammetry,Geoinformation and Engineering Technology,Xi'an,China)
出处
《科学技术创新》
2025年第17期117-120,共4页
Scientific and Technological Innovation
关键词
车载三维激光扫描
航空摄影测量技术
公路数字高程模型
多源数据融合
vehicle-mounted 3D laser scanning
aerial photogrammetry
highway digital elevation model
multi-source data fusion
