Investigation into Self-calibration Methods for the Vexcel UltraCam D Digital Aerial Camera

被引:0
作者
Qtaishat, K. S. [1 ]
Smith, M. J. [1 ]
机构
[1] Mutah Univ, Civil & Environm Engn Dept, Mutah 61710, Al Karak, Jordan
关键词
Digital cameras; Aerial triangulation; Camera calibration; Digital images;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper provides an investigation into the camera calibration of a Vexcel UltraCam D digital aerial camera which was undertaken as part of the EuroSDR Digital Camera Calibration project. This paper will present results from two flights flown over a test site at Fredrikstad-Norway using established camera calibration techniques. Furthermore, it proposes an alternative approach. The "new" multi cone digital camera systems are geometrically complex. The image used for photogrammetric analysis is made up of a number of images produced by a cluster of camera cones and possibly various groups of CCD arrays. This produces a resultant image which is not just based on traditional single lens/focal plane camera geometries, but depends on the joining of images from multiple lens (different perspectives), handling groups of focal planes and the matching of overlapping image areas. Some of the requirements from camera calibration such as stability can only be determined through long-term experience/research and some can be determined through investigation and short-term research such as the calibration parameters. The methodology used in this research for assessing the camera calibration is based on self-calibration using the Collinearity Equations. The analysis was undertaken in order to try to identify any systematic patterns in the resulting image residuals. By identifying and quantifying the systematic residuals, a new calibration method is proposed that re-computes the bundle adjustment based on the analysis of the systematic residual patterns. Only very small systematic patterns could be visually identified in small areas of the images. The existing self-calibration methods and the new approach have made a small improvement on the results. The new calibration approach for the low flight has been particularly beneficial in improving the RMSE in Z and reducing image residuals. However, the method was less successful at improving the high flown results. This approach has shown that it has potential but needs further investigation to fully assess its capabilities.
引用
收藏
页码:95 / 105
页数:11
相关论文
共 36 条
  • [31] Comparison Study of Three Camera Calibration Methods Considering the Calibration Board Quality and 3D Measurement Accuracy
    Y. Liu
    Z. Lv
    Q. Zhang
    J. Zhao
    Z. Fang
    Z. Gao
    Y. Su
    [J]. Experimental Mechanics, 2023, 63 : 289 - 307
  • [32] Robust refinement methods for camera calibration and 3D reconstruction from multiple images
    Hor, Maw-Kae
    Tang, Cheng-Yuan
    Wu, Yi-Leh
    Chan, Kai-Hsuan
    Tsai, Jeng-Fiun
    [J]. PATTERN RECOGNITION LETTERS, 2011, 32 (08) : 1210 - 1221
  • [33] VBS RTK GPS-ASSISTED SELF-CALIBRATION BUNDLE ADJUSTMENT FOR AERIAL TRIANGULATION OF FIXED-WING UAS IMAGES FOR UPDATING TOPOGRAPHIC MAPS
    Chio, Shih-Hong
    [J]. BOLETIM DE CIENCIAS GEODESICAS, 2016, 22 (04): : 665 - 684
  • [34] AERIAL TOPOGRAPHIC SURVEY OF SMALL AREAS BY "LOW-COST" DIGITAL CAMERA CANON EOS 5D
    Kliment, Marcel
    Bulikova, Michaela
    Kliment, Tomas
    Cetl, Vlado
    Kocica, Jakub
    [J]. INFORMATICS, GEOINFORMATICS AND REMOTE SENSING, VOL I (SGEM 2015), 2015, : 941 - 948
  • [35] Self-Calibration Method and Pose Domain Determination of a Light-Pen in a 3D Vision Coordinate Measurement System
    Shan, Dongri
    Zhang, Chenglong
    Zhang, Peng
    Wang, Xiaofang
    He, Dongmei
    Xu, Yalu
    Zhou, Maohui
    Yu, Guoqi
    [J]. SENSORS, 2022, 22 (03)
  • [36] Self-calibration for linear structured light 3D measurement system based on quantum genetic algorithm and feature matching
    Pan, Xinjian
    Wu, Jieying
    Li, Zhili
    Yang, Jianjun
    Zhang, Chongfu
    Deng, Chunjian
    Yi, Zichuan
    Gao, Qingguo
    Yu, Miao
    Zhang, Zhi
    Liu, Liming
    Chi, Feng
    Bai, Pengfei
    [J]. OPTIK, 2021, 225