无人机航测内业处理技术及在市政道路改扩建中的精细化应用

UAV Aerial Survey Interior Processing Technology and Its Refined Application in Municipal Road Reconstruction and Expansion

摘要:

为解决市政道路工程复杂、勘测效率低、施工精度难保障、安全运维成本高的痛点，系统阐述无人机航测技术适应复杂地形、低空作业、数据采集与数据处理方面的优势，剖析航测内业处理核心流程，研究DEM多算法自适应插值、路面阴影智能剔除技术，构建“无人机航测-三维建模-工程设计-运维管控”应用模式，结合城市道路改造工程实例，展示完整技术路线与实践方案。结果表明，规范的无人机航测与影像处理技术可快速获取高精度地理信息成果，为地形测绘、市政道路工程建设、运维等领域提供可靠的数据支撑，在提升工程勘测效率、保障施工精度、降低作业风险等方面具有显著实践价值。

Abstract:

To address the pain points of municipal road engineering, including high complexity, low survey efficiency, difficulty in guaranteeing construction accuracy, and high safety operation and maintenance costs, the advantages of UAV aerial survey technology are systematically elaborated in adapting to complex terrain, conducting low-altitude operations, and performing data collection and processing. The core process of interior processing for aerial survey is analyzed. The technologies of DEM multi-algorithm adaptive interpolation and intelligent pavement shadow removal are studied. An application mode of “UAV aerial survey - 3D modeling - engineering design - operation and maintenance management” is established. Combined with the cases of urban road reconstruction engineering, the complete technical route and practical scheme are demonstrated. The results show that the standardized UAV aerial survey and image processing technologies can quickly obtain the high-precision geographic information results, providing the reliable data support for the fields such as topographic surveying and mapping, municipal road engineering construction, and operation and maintenance, which has the significant practical value in improving engineering survey efficiency, ensuring construction accuracy and reducing operation risks.