基于机载激光点云数码影像外方位元素自检校

Self-calibration of exterior orientation parameters of aerial digital images based on airborne LiDAR point clouds

为了研究航空数码影像的高精度定向,采用机载激光点云为虚拟地面控制点构建了航空影像与虚拟控制点的几何关系模型;一个地面点成像在多张数码影像上,为此基于所有同名光线交于一点的原理构建了自检校的几何模型和误差方程,构建并解算法方程获取到高精度定向数据。结果表明,此方法达到了无地面控制点的影像外方位元素自检校的预期结果。

In order to study high precise orientation of the aerial digital images,the geographical relationship model was derived with aerial digital images and virtual ground control points from airborne LiDAR point clouds.Both the self-calibration geographical model and error equations were built based on the principle that all corresponding image rays intersect with one ground point which was captured on multi images.The high precise orientation data of aerial images was obtained by solving the algorithm equation.The results show that the effect of self-calibration of exterior orientation parameters without ground control points is achieved.