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现代矿业 ›› 2023, Vol. 39 ›› Issue (02): 75-78.

• 地质·测量 • 上一篇    下一篇

像控点分布对无人机监测公路变形的精度影响分析

牟海鹏1 杨默含2 张孝鲁1 宋坤1 高伟1 马峻岭1   

  1. 1. 山东济宁运河煤矿有限责任公司;2. 中国矿业大学环境与测绘学院
  • 出版日期:2023-02-25 发布日期:2023-05-09

Analysis of the Influence of Image Control Point Distribution on the Accuracy of UAV Monitoring Highway Deformation

MU Haipeng1 YANG Mohan2 ZHANG Xiaolu1 SONG Kun1 GAO Wei1 MA Junling1   

  1. 1. Shandong Jining Yunhe Coal Mine Co.,Ltd.;2. School of Environment and Surveying and Mapping, China University of Mining and Technology
  • Online:2023-02-25 Published:2023-05-09

摘要: 无人机为采动区建(构)筑物变形监测提供了一种新途径,像控点是影响无人机变形 监测精度的主要因素。通过试验研究了像控点分布对无人机监测公路变形的精度影响。研究表 明:①无人机能够快速、高效获取整个公路的变形状态,若需要获取较高的测量精度,则需要布置 较多的像控点,相应劳动强度也增加;②平面误差与高程误差均会随着像控点间距减小而降低,但 降低到一定程度后趋于稳定;③在进行无人机变形监测时,像控点布设对平面误差的影响较高程 误差大,随着像控点间距降低,平面误差、高程误差均快速下降,但平面误差降低的速度更快。研 究结果对无人机在采动区公路变形监测中的应用具有借鉴意义。

关键词: 像控点, 无人机, 公路变形监测

Abstract: UAV provides a new way for deformation monitoring of buildings(structures)in mining area. Image control point is the main factor affecting the accuracy of UAV deformation monitoring. The influence of image control point distribution on the accuracy of UAV monitoring highway deformation is studied by experiments. The research shows that : ① UAV can quickly and efficiently obtain the deformation state of the whole highway. If it is necessary to obtain higher measurement accuracy,more image control points need to be arranged,and the corresponding labor intensity also increases. ② Both the plane error and the elevation error will decrease with the decrease of the distance between the image control points,but they will tend to be stable after reducing to a certain extent. ③ In the process of UAV deformation monitoring, the influence of image control point layout on plane error is greater than that of elevation error. As the distance between image control points decreases,the plane error and elevation error decrease rapidly,but the plane error decreases faster. The research results have reference significance for the application of UAV in highway deformation monitoring in mining area.

Key words: image control point, UAV, highway deformation monitoring