Accurate Mapping Method for UAV Photogrammetry Without Ground Control Points in the Map Projection Frame

Accurate Mapping Method for UAV Photogrammetry Without Ground Control Points in the Map Projection Frame
复制标题

地图投影框中无地面控制点的无人机摄影测量精确制图方法

DOI:
10.1109/tgrs.2021.3052466
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发表时间:
2021-01
影响因子:
8.2
通讯作者:
Zhu Hongchun
Zhu Hongchun
中科院分区:
工程技术1区
文献类型:
--
作者:
Liu Jianchen;Xu Wei;Guo Bingxuan;Zhou Gang;Zhu Hongchun

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无地面控制点(gcp)的无人机(UAV)摄影测量可以有效提高生产效率,降低生产成本;这种方法在人们难以到达的地区尤其有利。然而,在没有gcp的情况下,无人机摄影测量存在一系列问题。其中一个主要问题是无法通过现场标定方法获得准确的相机参数;此外,主距不准确会严重影响目标点的高程精度。二是在地图投影框架内进行测绘任务时,投影变形和地球曲率对高程精度也有影响。本文阐述了高程误差产生的具体原因,并提出了有效的解决方法。首先,在具有控制条的地心框架中进行相机自标定。然后,在没有控制条的地图投影帧中计算图像的外部方位元素。最后,对地图投影变形和地球曲率引起的高程误差进行了校正。实验结果表明,该方法可以实现精确的成图,高程精度明显提高。
Unmanned aerial vehicle (UAV) photogrammetry without ground control points (GCPs) can effectively improve production efficiency and reduce production costs; this method is especially advantageous in areas that are difficult for people to reach. However, there are a series of problems in UAV photogrammetry without GCPs. One of the main problems is that the accurate camera parameters cannot be obtained through the on-the-job calibration method; furthermore, the inaccurate principal distance will have a serious impact on the elevation accuracy of object points. The other one is that the projection deformation and earth curvature also have impacts on the elevation accuracy, when the mapping task is carried out in the map projection frame. This article explains the specific reasons of elevation errors and proposes an effective solution. First, the camera self-calibration is performed in a geocentric frame with control strips. Then, the exterior orientation elements of the images are calculated in the map projection frame without control strips. Finally, the elevation errors that are caused by the map projection deformation and the earth’s curvature are corrected. The experimental results show that the proposed method can achieve accurate mapping, and the elevation accuracy has been significantly improved.
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