扩展共线方程结合车载组合全景相机影像区域网平差

Block Adjustment of Vehicle-borne Multi-camera Rig Images Using Extended Collinearity Equations

利用扩展共线方程实现组合相机单片影像的空中三角测量,通过该方法来提高全景影像的定位精度。由于组合全景相机中各子相机刚性固定,相机间的相对位姿参数可以精确标定,因此利用扩展共线方程模型,可以将组合全景相机的构像单元从单个子相机影像扩展为整个组合相机获取的多张影像。与已有的球模型方法,包括球理想模型和球严密模型方法相比,本文所用的扩展共线方程方法使用各子相机影像像点作为观测值,避免了球模型方法中由各子相机摄影中心不重合导致的球模型投影误差和摄站内重叠区域融合误差。试验结果表明:与球模型方法相比,本文方法无需模型投影和摄站内重叠区域融合等繁琐的处理过程,避免了由其引起的精度损失,保证了空三网稳定性的同时提高了定位精度。

This paper introduces the extended collinearity equations into aerial triangulation of the vehicle-borne multi-camera rig images to improve the positioning accuracy.The cameras in a multi-camera rig are rigidly fixed and the relative position and orientation parameters among the mono cameras of multi-camera rig can be calibrated accurately,so the extended collinearity equations can be used to extend the imaging unit from a mono camera image to multiple images of multi-camera rigs.Compared with the existing spherical models,including the spherical ideal model and the spherical rigorous model,the extended collinearity equations used in this paper avoid the spherical projection error and fusion error caused by the misalignment of projection centers.Experimental results show that the method omits the processing procedure of model projection and fusion of overlap areas,which avoids the precision loss and complicated processing procedure,and finally obtains more robustness triangulation net,more precise and robust position accuracy.