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9 May 2016 Improved bore-sight calibration for airborne light detection and ranging using planar patches
Dong Li, Huadong Guo, Cheng Wang, Pinliang Dong, Zhengli Zuo
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Funded by: National Natural Science Foundation of China
Journal of Applied Remote Sensing, Vol. 10, Issue 2, 024001 (May 2016). https://doi.org/10.1117/1.JRS.10.024001
Abstract
Airborne light detection and ranging (LiDAR) system calibration is a crucial procedure for ensuring the accuracy of point data. A common practice is to use conjugate planar patches to recover systematic parameters based on coplanar constraints and to use planes with different orientations to decrease the correlations between the systematic errors. When there are not sufficient planar patches and the configuration of planar patches is not optimal, it is difficult to guarantee the reliability of the estimated system parameters. Based on the analyses of the bore-sight angle effects, we find that not only the orientations but also the distribution of planar patches play an important role in the calibration procedure. We propose an improved method for bore-sight calibration based on the principles of symmetry of coordinate offsets and low correlations between bore-sight angles. Comparisons of the experimental results of bore-sight angle calibration suggest that the proposed configuration of conjugate planar patches can decrease the correlations between bore-sight angles and improve the reliability of calibration results. The optical results obtained from four gable-roof buildings are very close to the results calculated by the RiProcess software with a deviation of about 0.001 deg.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Dong Li, Huadong Guo, Cheng Wang, Pinliang Dong, and Zhengli Zuo "Improved bore-sight calibration for airborne light detection and ranging using planar patches," Journal of Applied Remote Sensing 10(2), 024001 (9 May 2016). https://doi.org/10.1117/1.JRS.10.024001
Published: 9 May 2016
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Cited by 5 scholarly publications.
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KEYWORDS
Calibration
LIDAR
Buildings
Global Positioning System
Reliability
Laser scanners
Error analysis
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