GNSS World of China

Volume 45 Issue 2
Apr.  2020
Turn off MathJax
Article Contents
ZHANG Guangzu, WANG Chun, XU Yan, TAO Yu, WU Liang, SHENG Shuai. Effect of image control point layout on the accuracy of real-world modeling of small-scale irregular areas of UAVs[J]. GNSS World of China, 2020, 45(2): 60-67. doi: DOI:10.13442/j.gnss.1008-9268.2020.02.010
Citation: ZHANG Guangzu, WANG Chun, XU Yan, TAO Yu, WU Liang, SHENG Shuai. Effect of image control point layout on the accuracy of real-world modeling of small-scale irregular areas of UAVs[J]. GNSS World of China, 2020, 45(2): 60-67. doi: DOI:10.13442/j.gnss.1008-9268.2020.02.010

Effect of image control point layout on the accuracy of real-world modeling of small-scale irregular areas of UAVs

doi: DOI:10.13442/j.gnss.1008-9268.2020.02.010
  • Publish Date: 2020-04-15
  • The layout and number of image control points have an important impact on the accuracy of real-world modeling. In this paper, a 0.25 km2 irregular area in Linquan County, Fuyang City is selected as the experimental area, and two irregular verification areas (0.27 and 0.28 km2) are selected. The real-world model is constructed according to three different image control point layout methods: edge layout, edge plus a small center layout, and center layout. The characteristics of the influence of the number of image control points and the layout position on the accuracy of the model are compared and analyzed. The results show that: 1) The accuracy of the model can only be effectively guaranteed when the convex polygon surrounded by the image control point line contains the entire irregular measurement area. 2) Under the requirements of 1∶500 scale mapping accuracy, five image points are arranged at the edges as the best point layout method, which meets the modeling requirements of high efficiency, high precision and low cost. 3) In the case of ideal placement of image control points, increasing the number of layouts can not significantly improve the accuracy of the real-world model. Image control points should be arranged as needed.

     

  • loading
  • [1]
    吴志栩.无人机实景三维模型在规划监督测量中的应用初探[J].测绘通报,2018(S1): 139-143.
    [2]
    李佳俊,徐辉,赵大伟.实景模型在传统村落数字博物馆中的应用[J].国土资源遥感,2019, 31(1): 264-270.
    [3]
    曹雪榕,陈晓宁,岳贵杰,等.基于三维实景的警用应急指挥系统设计与实现[J].北京测绘,2019, 33(1): 80-83.
    [4]
    向云飞,余代俊,张兵,等.基于Lidar数据和倾斜摄影的城市三维模型构建[J].测绘工程,2016,25(12): 65-69.
    [5]
    谭金石,吴云辉,范海生,等.基于ArcGIS与航空影像的城市三维建模方法研究[J].测绘地理信息,2014, 39(6): 59-61.
    [6]
    彭泊涵.结合机载LiDAR数据的单体三维建模技术分析[J].测绘通报,2018(S1): 117-120.
    [7]
    贾雪,刘超,徐炜,等.海量点云数据的建筑物三维模型重建[J].测绘科学,2019, 44(4): 124-129,181.
    [8]
    周杰. 倾斜摄影测量在实景三维建模中的关键技术研究[D].昆明:昆明理工大学, 2017.
    [9]
    余忠迪,李辉,巴芳,等.基于消费者级无人机的城市三维建模[J].国土资源遥感,2018, 30(2): 67-72.
    [10]
    贾彦昌,张斌.免像控无人机航摄系统在1∶500地形图测绘中的应用[J].北京测绘,2018,32(9): 1092-1096.
    [11]
    苏世伟,汪云甲.通过控制点布设探究航测精度[J].测绘科学,2012,37(6): 115-117.
    [12]
    周旺辉,蔡东健,甄宗坤.控制点布设对低空小型无人机高分影像精度的影响[J].测绘通报,2017(S1): 69-74.
    [13]
    朱进,丁亚洲,陈攀杰,等.控制点布设对无人机影像空三精度的影响[J].测绘科学,2016,41(5): 116-120.
    [14]
    买小争, 杨波, 冯晓敏. 无人机航摄像控点布设方法探讨[J].测绘通报,2012(S1): 268-271.
    [15]
    彭凯笛,杜全叶,孙钰珊.控制点分布对航摄仪区域网平差精度的影响[J].测绘科学,2016,41(7):181-187,201.
    [16]
    李万能,唐庆忠,陈黎.无人机航摄像控点数量对空三解算精度的影响[J].测绘通报,2017(S1): 84-89,99.
    [17]
    孙钰珊,张力,艾海滨,等.倾斜影像匹配与三维建模关键技术发展综述[J].遥感信息, 2018, 33(2): 1-8.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (311) PDF downloads(87) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return