摘要
无人机影像重叠度高,单个控制点可能会出现在多张相邻影像上,因此在空中三角测量工作中,在影像上展绘控制点(展点)是一项繁琐的内业工作。为解决该问题,将通过影像和控制点纠正后的POS数据应用到展点工作中,提出了一种适用于大重叠度影像的自动展绘控制点(自动展点)方法,并针对不同地形区域对展点精度进行了评估分析。结果表明,在地形平坦区域,该方法展点精度较高,可直接应用到影像的快速拼接和空中三角测量等影像后续处理中。
A single control point may appear in multiple adjacent images because the unmanned aerial vehicle（UAV） images have high overlap degree.In the aerotriangulation work,the extraction of control points on images is a complex work.The original position and orientation system（POS） data can be corrected using the UAV images and control points,and then the corrected data can be applied to the work of points extraction.In this paper,an automatic extraction image points method suitable for large overlap images was put forward,and the accuracy of points extraction was assessed according to different terrain areas.Experimental results show that the method has higher precision in the flat terrain area and can be directly applied to the fast image mosaic,aerotriangulation and other follow-up processes.
出处
《国土资源遥感》
CSCD
2011年第4期69-73,共5页
Remote Sensing for Land & Resources
基金
国土资源公益性行业科研专项项目(编号:201211031)
"十一五"国家科技支撑计划项目(编号:2006BAJ05A13)共同资助
