GNSS World of China

Volume 44 Issue 6
Dec.  2019
Turn off MathJax
Article Contents
KU Xinbo, DENG Yan, GAO Xiao, TANG Xinzhuang. Research on high precision interpolation algorithms for 3D coordinates of projection center of UAV at exposure time[J]. GNSS World of China, 2019, 44(6): 75-80. doi: DOI:10.13442/j.gnss.1008-9268.2019.06.012
Citation: KU Xinbo, DENG Yan, GAO Xiao, TANG Xinzhuang. Research on high precision interpolation algorithms for 3D coordinates of projection center of UAV at exposure time[J]. GNSS World of China, 2019, 44(6): 75-80. doi: DOI:10.13442/j.gnss.1008-9268.2019.06.012

Research on high precision interpolation algorithms for 3D coordinates of projection center of UAV at exposure time

doi: DOI:10.13442/j.gnss.1008-9268.2019.06.012
  • Publish Date: 2019-12-15
  • With the continuous improvement of airborne POS system, UAV technology has become an important way of high precision photogrammetry. Because of the limited sampling interval of GNSS receiver in POS system, it is necessary to interpolate the three-dimensional coordinates of projection center of the airborne camera at the exposure time. Four interpolation algorithms have been studied in this paper and real measurements have been used to compare the merits and demerits of different interpolation algorithms. The results show that the root mean square error of cubic spline interpolation algorithm is better than 5 cm when the sampling interval of raw GNSS observations is more than 1 Hz, which means that cubic spline interpolation algorithm is more suitable for high-precision interpolation of threedimensional coordinates of projection center.

     

  • loading
  • [1]
    张祖勋. 由数字摄影测量的发展谈信息化测绘[J]. 武汉大学学报(信息科学版), 2008, 33(2):111-115.
    [2]
    LASAPONARA R, MASINI N. Satellite Remote Sensing[M]. Springer, 2012.DOI:10.1007%2F978-90-481-8801-7.
    [3]
    GONG P, LI X, ZHANG W. 40-Year (1978-2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing[J]. Science Bulletin, 2019, 64(11):756-763.DOI: 10.1016/j.scib.2019.04.024.
    [4]
    WANG H, HU Z Y, LI D L, et al. Estimation of the surface heat transfer coefficient over the east-central Tibetan Plateau using satellite remote sensing and field observation data[J]. Theoretical and Applied Climatology, 2019,138(1-2):169-183.DOI: 10.1007/S00704-019-02815-X.
    [5]
    杨凯. 遥感——摄影测量的现代化发展[J]. 武汉大学学报(信息科学版), 1985, 10(3):19-24.
    [6]
    金伟, 葛宏立, 杜华强,等. 无人机遥感发展与应用概况[J]. 遥感信息, 2009(1):88-92.
    [7]
    李德仁, 李明. 无人机遥感系统的研究进展与应用前景[J]. 武汉大学学报(信息科学版), 2014, 39(5):505-513,540.
    [8]
    刘力荣, 左建章, 关艳玲. POS辅助航空摄影测量精度分析[J]. 测绘科学, 2012, 37(4):197-198,201.
    [9]
    林宗坚. UAV低空航测技术研究[J]. 测绘科学, 2011, 36(1):5-9.
    [10]
    张春森, 朱师欢, 臧玉府,等. 顾及曝光延迟的无人机GPS辅助光束法平差方法[J]. 测绘学报, 2017,46(5):565-572.
    [11]
    WANG X, WANG L. Two dimensional linear interpolation method and its application in calculation of planar temperature field[J]. Journal of Tianjin Normal University, 2010, 106(3):267-273.
    [12]
    NAN J, LUO W. Quantum image scaling using nearest neighbor interpolation[J]. Quantum Information Processing, 2015, 14(5):1559-1571.DOI: 10.1007/S11128-014-0841-8.
    [13]
    CUCHE E, MARQUET P, DEPEURSINGE C. Aperture apodization using cubic spline interpolation: application in digital holographic microscopy[J]. Optics Communications, 2000, 182(1-3):59-69.DOI: 10.1016/S0030-4018(00)700747-1.
    [14]
    CHAND A K B, VISWANATHAN P. A constructive approach to cubic Hermite Fractal Interpolation Function and its constrained aspects[J]. BIT Numerical Mathematics, 2013, 53(4):841-865.DOI: 10.1007/S10543-013-0442-4.
  • 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 (342) PDF downloads(73) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return