高分辨率遥感卫星辅助无人机空中三角测量

针对传统无人机影像空中三角测量需要大量外业控制点的问题,提出通过高分辨率遥感卫星影像空间定位获取地面点坐标,并将这些地面点作为无人机影像的控制点来源,以此辅助无人机空中三角测量。在基于RPC模型的高分辨率遥感影像空间定位的基础上,采取多种控制点布设方案进行了无人机影像空中三角测量,并对比分析了各布控方案对试验精度的影响及原因。试验结果表明,在不采用外业实测控制点的情况下,只用高分辨率遥感影像空间定位得到的加密点作全局控制,平差后检查点平面精度可达到0.629 m,高程精度可达到0.823 m,如果要保证更高的空三精度,可在测区四周及中心增加少量外业实测控制点。

Aerial Triangulation of UAV Images Assisted with High-Resolution Satellite

According to the fact that the traditional aerial triangulation of UAV images requires an amount of ground control points,a new method using control points from high resolution remote sensing satellite images to aid aerial triangulation of UAV is presented. On the basis of the RPC model based space location of high resolution remote sensing images,several schemes of aerial triangulation varying in the layout of control points were carried out. Then the performance of different schemes is analyzed. Results show that：① using only pass points from space location of high resolution remote sensing images without control points collected from field surveying,the horizontal and vertical precision of check points after adjustment is 0.629 m and 0.823 m,respectively;②higher accuracy could be achieved with a few additional control points collected by field surveying which should be located around the edge and center of the surveying area.