A satellite photon-counting laser altimeter calibration algorithm using CCRs and indirect adjustment

Guo, Yalei; Xie, Huan; Xu, Qi; Liu, Xiaoshuai; Wang, Xu; Li, Binbin; Tong, Xiaohua

doi:10.1117/12.2603099

Cited by 2 publications

(1 citation statement)

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“…In the research of [18], the author derived a pointing angle system error on-orbit correction model based on pointing angle residuals and used the on-orbit verification method of footprint detection for the on-orbit correction of the system error. By extracting the position of the corner cube retro-reflectors (CCR) in the returned photon signal and associating the natural ground with the laser footprint, Guo et al [19] performed on-orbit calibration of spaceborne singlephoton laser altimeter. Compared with the previous methods, the accuracy of the methods has been improved, but energy detectors or the CCRs need to be arranged in the ground calibration field to calculate the laser footprint center, which leads to higher calibration costs and lower time flexibility.…”

Section: Introductionmentioning

confidence: 99%

On-Orbit Calibration for Spaceborne Line Array Camera and LiDAR

Zhuge

Guan

et al. 2022

Remote Sensing

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For a multi-mode Earth observation satellite carrying a line array camera and a multi-beam line array LiDAR, the relative installation attitude of the two sensors is of great significance. In this paper, we propose an on-orbit calibration method for the relative installation attitude of the camera and the LiDAR with no need for the calibration field and additional satellite attitude maneuvers. Firstly, the on-orbit joint calibration model of the relative installation attitude of the two sensors is established. However, there may exist a multi-solution problem in the solving of the above model constrained by non-ground control points. Thus, an alternate iterative method by solving the pseudo-absolute attitude matrix of each sensor in turn is proposed. The numerical validation and simulation experiments results show that the relative positioning error of the line array camera and the LiDAR in the horizontal direction of the ground can be limited to 0.8 m after correction by the method in this paper.

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Section: Introductionmentioning

confidence: 99%