摘要
为解决城市建筑物立面的高精度测量需求,文章提出一种融合无人机倾斜摄影与三维激光扫描的协同测量方案,结合深度学习驱动的特征提取与优化算法,实现从数据采集到三维重建的全流程自动化与高精度化。研究通过实验验证了技术组合与算法优化的有效性,并基于实际案例分析了其在复杂城市环境中的适用性。论文的创新性不仅体现在技术融合与算法改进层面,更为城市建筑物立面的高效测量提供了可复用的技术框架。
To address the demand for high-precision measurement of urban building facades,this study proposes a collaborative measurement framework that integrates UAV oblique photography with 3D laser scanning.By incorporating deep learning-enhanced feature extraction and optimization algorithms,it achieves full-process automation and high-precision in the entire data acquisition to 3D reconstruction process.The research verifies the effectiveness of the technical integration and algorithmic optimization through experimental studies,and analyzes its applicability in complex urban environments based on actual case studies.The novelty of this research lies not only in the technologies integration and algorithmic advancement,but also in delivering a replicable technical framework for efficient measurement of urban building facade.
作者
董步昌
DONG Bu-chang(Nantong Siwei Engineering Survey Co.,Ltd.)
出处
《智能建筑与智慧城市》
2026年第3期70-72,共3页
Intelligent Building & Smart City
关键词
城市建筑物立面
高精度测量
数据处理方法
无人机倾斜摄影
三维激光扫描
技术融合
三维重建
urban building facades
high-precision measurement
data processing methods
UAV oblique photography
3D laser scanning
technology integration
3D reconstruction
