城市建筑物3D模型摄影测量技术优化研究

Optimizing 3D Models of Urban Buildings Based on Photogrammetric Technology

使用UAV系统采集的遥感图像结合倾斜摄影测量技术绘制的城市OSGB(Open Scene Graph Binary)模型是目前广泛采用的城市数字化模型。然而,由于建筑物相互遮挡和相机倾斜角度偏差等问题,由航空倾斜影像生成的3D模型可能存在几何缺陷和模糊纹理。为解决这一问题,本文提出了一种基于3D点云重建的拓扑表面优化方法,以改进实景三维模型的几何形状和纹理特征。研究结果表明,本方法有效地弥补了实景三维模型的几何缺陷,改善了模糊纹理,提高了城市地区三维建模的精度和可视化效果。

The urban OSGB(Open Scene Graph Binary)model,which is drawn using the UAV system to collect remote sensing images and oblique photogrammetry technology,is currently the most widely used urban digital model.However,due to issues such as building occlusion and camera tilt angle deviation,3D models generated from aerial oblique images may have geometric defects and blurred textures.To address this issue,this paper proposes a topology surface optimization method based on 3D point cloud reconstruction to improve the geometric shape and texture features of realistic 3D models.The research results indicate that this method effectively compensates for the geometric defects and blurred textures of realistic 3D models and improves the accuracy and visualization effect of urban 3D modeling.