The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 221–226, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W16-221-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 221–226, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W16-221-2019

  17 Sep 2019

17 Sep 2019

A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD

G. E. Teng, M. Zhou, J. Hu, H. H. Wu, W. Li, H. J. Zhang, J. Y. Chen, and J. H. Wang G. E. Teng et al.
  • Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China

Keywords: Calibration, Common Optical Path, Least Squares Principle, Misalignment Error, Ranging Error

Abstract. The common optical path payload is a new type of imaging payload that can acquire LiDAR data and CCD images simultaneously. This new payload integrates the linear LiDAR and linear CCD images according to the common optical system, and achieves the registration of LiDAR point cloud and CCD images by the alignment of common aperture optical axis and time synchronization control in the front of hardware. Based on the fixed matching relationship between CCD probes and LiDAR probes offered by optical path of common, this paper proposes a joint calibration method, which reduces the ranging error and misalignment error. And the results verify that this method can effectively improve the quality of the three-dimensional images. The standard deviations of validation area and roof are improved from 0.54 m to 0.14 m and 1.83 m to 0.26 m respectively.