优视摄影测量方法及精度分析EI北大核心CSCD

无人机最优路径规划和精准数据采集是复杂城市场景三维重建的关键问题。优视摄影测量利用被摄对象的概略模型,结合密集采样的初始视点生成和采样点可重建性约束的视点优化技术,实现最小数据采集代价下的精确三维模型重建。本文首先研究了优视摄影测量的基本原理;然后利用优视摄影测量技术进行真实场景的无人机影像采集,并结合激光扫描点云进行空三精度分析和Mesh模型质量验证。试验结果表明,优视摄影测量显著提高了Mesh模型的重建质量;对于倾斜摄影难以观测的部分建筑物立面区域,精度提升达到3~5倍;与倾斜摄影相比,优视摄影测量能建立稳健影像连接,实现较高的绝对定位精度。

Optimized views photogrammetry and its precision analysis

UAV path planning and accurate data acquisition is a key problem for 3D reconstruction of complex urban scenes. By using the rough model of the object to be captured, optimized views photogrammetry combines the technique of dense sampling-based initial view generation and reconstructability constrained view optimization and achieves the purpose of precious 3D model reconstruction from the least number of images. First, this study presents the principle of optimized views photogrammetry. Second, data acquisition campaigns of real scenes are conducted with the aid of optimized views photogrammetry. Combining laser scanned point clouds, the assessment of 3D reconstruction precision and mesh model quality is performed. Experimental results verifies that for the building facades that are hardly observed from oblique photogrammetry views, the mesh model quality is improved dramatically with the increase ratio of 3 to 5 times. In addition, compared with traditional oblique photogrammetry, optimized views photogrammetry can establish stable image connection network and achieve competitive precision in absolute bundle adjustment.