摘要
针对实景三维建设中复杂室内及地下空间建模研究不足的问题,本文提出了一种融合三维点云与视频影像的实景三维建模方法。首先,利用SLAM技术获取洞内高精度激光点云数据,并通过贴近摄影测量采集多角度视频影像;然后,采用SFM算法生成密集匹配点云,结合ICP算法实现异源数据的精确配准,构建兼具结构特征与纹理信息的洞内三维模型;最后,将洞内模型与无人机倾斜摄影测量的洞外地形级实景三维场景融合,形成统一的数字孪生平台。研究结果表明,该方法实现了洞内外场景的高精度还原与虚实融合,为地下复杂空间建模提供了可靠的技术参考。
Aiming at the insufficient research on modeling complex indoor and underground spaces in real-scene 3D construction,this paper proposes a 3D modeling method that integrates 3D point clouds and video imagery.Firstly,high-precision laser point cloud data inside the cave is acquired using SLAM technology,while multi-angle video imagery is collected via close-range photogrammetry.Then,the SFM algorithm is employed to generate dense matching point clouds,and the ICP algorithm is applied to achieve precise registration of heterogeneous data,constructing a 3D cave model with both structural features and texture information.Finally,the indoor model is fused with an outdoor terrain-level real-scene 3D model obtained from UAV oblique photogrammetry,forming a unified digital twin platform.The results demonstrate that this method achieves high-precision reconstruction and virtual-real integration of indoor and outdoor scenes,providing a reliable technical reference for modeling complex underground spaces.
作者
郭震冬
吴昊
顾正东
黄亮
GUO Zhendong;WU Hao;GU Zhengdong;HUANG Liang(Jiangsu Provincial Institute of Surveying and Mapping Engineering,Nanjing 210013,China)
出处
《测绘通报》
北大核心
2025年第8期149-152,共4页
Bulletin of Surveying and Mapping
关键词
SLAM技术
近景摄影测量
无人机倾斜摄影测量
视频与点云融合建模
洞内外三维融合建模
SLAM technology
close-range photogrammetry
UAV oblique photogrammetry
video and point cloud fusion modeling
3D fusion modeling inside and outside the cave
作者简介
郭震冬(1986-),男,高级工程师,主要研究方向为低空无人机遥感及实景三维建设。E-mail:576787487@qq.com。
