Abstract

Utilizing charge-coupled device (CCD) imaging technology in astronomical surveying and positioning facilitates high-precision measurements without manual observation. This eliminates the influence of the traditional celestial geodetic personal and instrumental equation, and further improves measurement efficiency and automation. This paper proposes a CCD astronomical measurement method based on a Leica video georobot platform and a polynomial transformation method based on circle readings to achieve rapid and accurate conversion between circle and pixel coordinate differences. The RMS error (RMSE) of the horizontal and vertical transformations is better than 0.7′′ and 0.6′′, respectively. The results of initial astronomical field observation experiments indicate that the average internal precision in the longitudinal and latitudinal directions is better than 0.015 s and 0.20″, respectively, and the RMSE of external accuracy is better than 0.02 s and 0.30″, respectively, which proves that the proposed method is reliable and accurate when conducting first-class astronomical surveys. Furthermore, the proposed method reduces workflow and field operation times and facilitates miniaturization and automation, and makes high-precision astronomical field measurements rapid and intelligent.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the submitted article.

Acknowledgments

This research is partially sponsored by the National Nature Science Foundation of China (Grant Nos. 41604011, 41774038, 41804034, and 41704006) and the Shanghai Key Laboratory of Space Navigation and Positioning Techniques Open Fund (Grant No. KFKT 201707).

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 146Issue 2May 2020

History

Received: Feb 17, 2018
Accepted: Jul 19, 2019
Published online: Jan 22, 2020
Published in print: May 1, 2020
Discussion open until: Jun 22, 2020

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Engineer, Information Engineering Univ., Zhengzhou 450001, China (corresponding author). ORCID: https://orcid.org/0000-0003-0537-3001. Email: [email protected]
Professor, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]
Professor, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]
Jiansheng Li ljszhx163.com
Professor, Information Engineering Univ., Zhengzhou 450001, China. Email: ljszhx163.com
Engineer, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]
Engineer, Xi’an Univ. of Science and Technology, Xi’an 710054, China. Email: [email protected]
Changyuan Chen [email protected]
Engineer, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]
Chonghui Li [email protected]
Associate Professor, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]
Senior Engineer, Beijing Surveying and Mapping Company, No. 22, Shijingshan Rd., Shijingshan, Beijing 100042, China. Email: [email protected]
Engineer, Shanghai Key Laboratory of Space Navigation and Positioning Techniques, Shanghai Observatory, Chinese Academy of Sciences, Shanghai 200030, China. Email: [email protected]
Engineer, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]

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