基于双目视觉摄影测量精度模型分析

Analysis of Photogrammetry Model Precision Based on Binocular Vision

文章分析了摄像机投影模型和影响摄影测量精度的内外因素，针对固定视场双目视觉摄影测量应用，建立了目标特征标志提取误差、时间同步误差、安装平台形变、目标控制点特征及多帧平滑滤波算法对位置及姿态测量误差的影响模型，通过数据仿真对影响摄影测量精度的因素进行了讨论。可为靶场目标起落运动参数测量系统及其他高精度摄像测量系统设备选型、设计论证及测量精度分析验证等提供参考。

In this paper, the analyses of camera projective model and the internal and external factors which effect photogrammetric precision are made. In terms of binocular vision photogrammetry applications in fixed view field, a model of the effect of target feature extraction error, time synchronization error, installation platform deformation, target control point feature and multi-frame smoother algorithm on position and attitude measure- ment error is developed, and the factors which affect measurement precision is discussed through data simula- tion. The paper will be of benefit to range target motion parameter measurement system with respect to equip- ment selection, design and measurement precision analysis, etc.