Random Star Recognition Algorithm Based on Image Total Station and Its Application to Astronomical Positioning
Publication: Journal of Surveying Engineering
Volume 148, Issue 4
Abstract
To aid astronomical research in the identification and positioning of random stars in unfamiliar environments, this paper proposes a random star identification algorithm that does not require approximate station position. Rather, an observer calculates the angular distance between three selected stars at a unified time and forms an observation triangle using the angular distance difference method to match the observation triangle to a navigation triangle in a database of navigation stars. The detailed identification process is given in the article, and the distribution of the selected stars in the experiment is depicted intuitively. The measured data show that the success rate of random star recognition was as high as 100% when the observation interval between stars did not exceed 3 min. The article introduces the experiment and calculation of astronomical positioning by the identified stars, which realizes the identification and positioning of random stars without requiring approximate station position. We used 12, 8, or 4 stars with good spatial geometry as a positioning star group and analyzed the internal accord accuracy (Std) and external accord accuracy (Rms) of the positioning results of different stars. Multiple sets of experimental data show that 4 random stars with good spatial geometric distribution allowed for solving identification and positioning tasks with high efficiency and precision. Finally, four main sources of positioning error were analyzed: instrument angle measurement error, time error, star centroid extraction error, and positioning model error. The identification method proposed in this paper does not rely on station location information and has application value for rapid astronomical measurements in harsh environments, such as cloudy weather and cities with bright lights at night. In addition, the method can theoretically be used anywhere in the world.
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Data Availability Statement
All of the data, models, or codes supporting the results of this research are available and can be obtained from the corresponding author upon reasonable request.
Acknowledgments
The smooth progress of this research benefited from the observation instruments and conditions provided by Information Engineering University. The authors are grateful to the United States Naval Observatory (USNO) for providing the NOVAS. The authors also appreciate the help from Leica’s technical service.
References
Balodimos, D. D., R. Korakitis, E. Lambrou, and G. Pantazis. 2003. “Fast and accurate determination of astronomical coordinates , and azimuth, using a total station and GPS receiver.” Surv. Rev. 37 (290): 269–275. https://doi.org/10.1179/sre.2003.37.290.269.
Bangert, J., W. Puatua, G. Kaplan, J. Bartlett, and A. Monet. 2009. User’s guide to NOVAS version C3.0. Washington, DC: US Naval Observatory.
Chang, C. C., and W. Y. Tsai. 2006. “Evaluation of a GPS-based approach for rapid and precise determination of geodetic/astronomical azimuth.” J. Surv. Eng. 132 (4): 149–154. https://doi.org/10.1061/(ASCE)0733-9453(2006)132:4(149).
Chen, S., Y. Zheng, Y. Zhan, J. Pu, and C. Li. 2017. “Comparison and analysis of astronomical refraction correction model.” GNSS World China 42 (6): 61–65. https://doi.org/10.13442/j.gnss.1008-9268.2017.06.010.
Chen, Z., C. Li, Y. Zheng, B. Chen, and D. He. 2019. “The minimum analysis of geometric dilution of precision in celestial positioning.” Acta Geod. Cartographica Sin. 48 (7): 879–888. https://doi.org/10.11947/j.AGCS.2019.20180479.
Hirt, C., B. Bürki, A. Somieski, and G. Seeber. 2010. “Modern determination of vertical deflections using digital zenith cameras.” J. Surv. Eng. 136 (1): 1–12. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000009.
Lambrou, E., and G. Pantazis. 2008. “Astronomical azimuth determination by the hour angle of Polaris using ordinary total stations.” Surv. Rev. 40 (308): 164–172. https://doi.org/10.1179/003962608X290951.
Li, C.-H., Y. Zheng, C. Zhang, Y.-L. Yuan, Y.-Y. Lian, and P.-Y. Zhou. 2014. “Astronomical vessel position determination utilizing the optical super wide angle lens camera.” J. Navig. 67 (4): 633–649. https://doi.org/10.1017/S0373463314000058.
Liu, Z. H., C. Zhang, T. Wang, Z. Cheng, X. Li, and C. Li. 2021. “Research on autonomous astrometric timer for complex electromagnetic environment.” Radioengineering 51 (10): 1025–1030.
Shi, C. 2018. “Research on automatic astronomical measurement technology of robot based on video measurement.” Master’s thesis, Control Science and Engineering, Information Engineering Univ.
Shi, C., et al. 2020. “Automatic astronomical survey method based on video measurement robot.” J. Surv. Eng. 146 (2): 04020002. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000300.
Shi, C., and C. Zhang. 2018. “Application of video measuring robot in field astronomical survey.” J. Geomat. Sci. Technol. 35 (2): 153–158.
Sun, T., F. Xing, X. Wang, Z. You, and D. Chu. 2016. “An accuracy measurement method for star trackers based on direct astronomic observation.” Sci. Rep. 6 (1): 1–10. https://doi.org/10.1038/srep22593.
Xie, D. 2009. “Development of the army battlefield astronomical positioning and orientation data processing system.” Master’s thesis, Software Engineering, Univ. of Electronic Science and Technology of China.
Zhan, Y., Y. Zheng, and C. Zhang. 2016. “Astronomical azimuth determination by lunar observations.” J. Surv. Eng. 142 (2): 04015009. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000158.
Zhan, Y., Y. Zheng, C. Zhang, Z. Li, and Z. Zhang. 2015. “Bright-star recognition algorithm and its application in astronomical azimuth determination.” Acta Geod. Cartographica Sin. 44 (3): 257. https://doi.org/10.11947/j.AGCS.2015.20130557.
Zhang, C. 2009. “System-level development and application research on astronomic surveying system based on electronic theodolites.” Ph.D. thesis, Geodesy and Survey Engineering, Zhengzhou Institute of Surveying and Mapping.
Zhang, H., C. Li, and Y. Zheng. 2021a. “Image-assisted total station camera mounting error correction model and analysis.” J. Surv. Eng. 147 (3): 04021008. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000354.
Zhang, X., C. Zhang, Y. Zhan, C. Shi, and H. Zhang. 2021b. “Random star recognition method for the image total station.” J. Geomat. Sci. Technol. 38 (1): 28–32.
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Published In
Journal of Surveying Engineering
Volume 148 • Issue 4 • November 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Dec 17, 2021
Accepted: May 24, 2022
Published online: Jul 23, 2022
Published in print: Nov 1, 2022
Discussion open until: Dec 23, 2022
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