基于多层数据融合的无人机精细化三维建模研究

Research on Fine 3D Modeling of UAV Based on Multi-layer Data Fusion

针对传统倾斜摄影测量三维建模时出现建筑物三维模型精度差、表面纹理不清晰、几何完整性差等问题,提出一种基于无人机多高度影像数据融合的精细化三维建模方法。结合传统倾斜飞行、近距智能环绕、手控环绕及地面手持环绕的多层影像,对传统倾斜摄影测量的倾斜模型进行纹理精细化构建。研究结果表明:通过本方法构建的三维模型较传统倾斜摄影测量构建的倾斜模型在三维模型精度、纹理精细度、几何完整性等方面都得到了显著提升。

In order to solve the problems of poor precision,unclear surface texture and poor geometric integrity of 3D model of buildings in traditional tilt photogrammetry,this paper presents a refined 3D modeling method based on UAV multi-altitude image data fusion.Combining with the multi-layer images of traditional tilt flight,close-range intelligent surround,hand-controlled surround and hand-held surround on the ground,the traditional tilt model of tilt photogrammetry is refined.The results show that the precision of 3D model,texture precision and geometric integrity of the 3D model constructed by this method are significantly improved compared with the traditional tilt photogrammetry model.