摘要
针对小区域精细化三维重建需求,本文提出了一种基于多源影像数据融合的重建方法,结合无人机低空遥感影像和地面激光扫描数据,通过多视影像匹配、点云优化及纹理映射等技术,实现了高精度三维实景模型的构建。实验结果表明,与单一数据源相比,多源数据融合显著提升了模型的几何精度和纹理细节,满足小区域精细化建模的需求。本文进一步分析了不同数据源对重建精度的影响,探讨了多源数据融合的优化策略,为小区域三维实景模型的高效、高精度重建提供了理论依据和技术支持。
Addressing the need for detailed 3D reconstruction in small areas,this study proposes a method based on the fusion of multi-source imagery,combining UAV low-altitude remote sensing images with terrestrial laser scanning data.High-precision 3D reality models were constructed using techniques including multi-view image matching,point cloud optimization,and texture mapping.Experimental results demonstrate that multi-source data fusion significantly enhances the geometric accuracy and textural detail of models compared to single-data-source approaches,meeting the demands of fine-grained modeling.The study further analyzes the impact of different data sources on reconstruction accuracy and discusses optimization strategies for data fusion,providing a theoretical basis and technical support for efficient,high-precision 3D reconstruction of small areas.
作者
杨菡
Yang Han(Jiangxi Nuclear Land Survey and Design Co.,LTD.,Jiujiang,Jiangxi,332000,China)
出处
《北斗与空间信息应用技术》
2025年第6期122-124,共3页
Beidou and Spatial Information Application Technology
关键词
地面影像
空中影像
三维实景模型
精细化
精度分析
Ground image
Aerial imagery
3D real-life model
Refinement
Precision analysis
