A Geometric Calibration Method for Spaceborne Single-Photon Lasers That Integrates Laser Detectors and Corner Cube Retroreflectors
Geometric calibration, as a crucial method for ensuring the precision of spaceborne single-photon laser point cloud data, has garnered significant attention. Nonetheless, prevailing geometric calibration methods are generally limited by inadequate precision or are unable to accommodate spaceborne lasers equipped with multiple payloads on a single platform. To overcome these limitations, a novel geometric calibration method for spaceborne single-photon lasers that integrates laser detectors with corner cube retroreflectors (CCRs) is introduced in this study. The core concept of this method involves the use of triggered detectors to identify the laser footprint centerline (LFC). The geometric relationships between the triggered CCRs and the LFC are subsequently analyzed, and CCR data are incorporated to determine the coordinates of the nearest laser footprint centroids. These laser footprint centroids are then utilized as ground control points to perform the geometric calibration of the spaceborne single-photon laser. Finally, ATLAS observational data are used to simulate the geometric calibration process with detectors and CCRs, followed by conducting geometric calibration experiments with the gt2l and gt2r beams. The results demonstrate that the accuracy of the calibrated laser pointing angle is approximately 1 arcsec, and the ranging precision is better than 2.1 cm, which verifies the superiority and reliability of the proposed method. Furthermore, deployment strategies for detectors and CCRs are explored to provide feasible implementation plans for practical calibration. Notably, as this method only requires the positioning of laser footprint centroids using ground equipment for calibration, it provides exceptional calibration accuracy and is applicable to single-photon lasers across various satellite platforms.
Authors
- Zhiyu Jiang (ORCID: https://orcid.org/0000-0002-1408-1839)
- Ren Liu (ORCID: https://orcid.org/0000-0003-3759-6613)
- Fan Mo (ORCID: https://orcid.org/0000-0002-5105-846X)
- Liang Hong (ORCID: https://orcid.org/0000-0002-3670-526X)
- Junfeng Xie
- Xiaomeng Yang (ORCID: https://orcid.org/0000-0002-9850-7736)
Institutions
- Yunnan Normal University (CN)
- Ministry of Natural Resources (CN)
- China Centre for Resources Satellite Data and Application (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-02-23
- DOI
- https://doi.org/10.3390/rs17050773
- Citations
- 1
- Primary Topic
- Calibration and Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.99
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation