International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 1313–1317, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-1313-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 1313–1317, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-1313-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Feb 2020

08 Feb 2020

APPLICATION OF MULTI-FACETED FUNCTION MODEL BASED ON VONDRAK FILTER OPTIMIZATION IN UAV AERIAL IMAGE HEIGHT CORRECTION

F. Zhou1, L. Pu2, S. H. Tang2,3, and Y. F. Yang1 F. Zhou et al.
  • 1Geomatices Center of Guangxi, No.5 Jianzheng Road, Nanning, Guangxi, 530023, China
  • 2College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jian’gan Road, Guilin, Guangxi, 541004, China
  • 3Guangxi Key Laboratory of Spatial Information and Geomatics, No.12 Jian’gan Road, Guilin, Guangxi, 541004, China

Keywords: Aerial image, Height correction, Vondrak filtering, Multi-Surface Function, Surface fitting, Precision analysis

Abstract. With the rapid development of drone technology and digital camera technology, the method of obtaining high-precision coordinates based on UAV aerial photogrammetry technology is popular. The plane coordinate accuracy of the aerial image of the drone has been able to meet the needs of practical applications, but the elevation accuracy is generally low. Aiming at the low elevation accuracy of UAV aerial photogrammetry, a multi-face function fitting method based on Vondrak filter optimization was proposed. The improved fitting model was used to obtain the elevation correction value of the aerial image, thereby obtaining high-precision image elevation data. In this paper, based on the traditional multi-face function fitting method, some known points were used to model and find the difference between the measured elevation value and the measured elevation. The Vondrak filter was used to smooth the fitting result. Finally, a small number of known elevation points were used for checking, so that the obtained elevation was compared with the actual elevation. The experimental comparison showed that the improved multi-face function fitting method used Vondrak filter was improved by 34.76% compared with the quadric surface fitting, and improved by 14.48% compared with the optimized cubic surface fitting method. Research shows that the multi-faceted function method based on Vondrak filtering is superior to the traditional elevation correction method. The experiment verifies the effectiveness and feasibility of the improved method, and provides some reference value for the research of aerial image elevation correction model.