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Method for Determining Elements of Internal Orientation Calibration in Multi-Matrix Optoelectronic Devices

https://doi.org/10.21122/2227-1031-2020-19-5-428-436

Abstract

In the operation schemes of optical electronic devices (OED), such as digital autocollimators, direction finders, Shack-Hartmann sensors, as well as astro-orientation systems, projection measuring systems, geometric calibration schemes for OED, the photo-detector acts not only as a receiving device, but also as a measuring device. The tasks facing the OED photo-detectors. The solution to the problem is the use of several photo-detectors installed on one electronic board. Since OED photo-detectors act, inter alia, as measuring devices, it is necessary to perform their geometric calibration. Geometric calibration involves the measurement of interior orientation parameters used in the processing of OED images. Geometric calibration makes it possible to eliminate errors in mutual exposure of photo-detectors on one electronic board installed in the focal plane, as well as distortions introduced by the OED lens, primarily by distortion. The correctness of the interior orientation parameter determination is influenced by the relative position of the collimator, with the help of which the geometric calibration is performed, and the calibrated OED itself, i. e. the external orientation elements. The task is to separate the interior orientation parameters and the elements of external orientation. This is achieved using the method of mathematical processing of measured data in the forward and inverted positions of the collimator. This method of geometric calibration allows to use it for geometric calibration of OED with a large number of photo-detectors. The paper presents the results of the geometric calibration of the interior orientation parameters when the collimator projects a test object onto three photo-detectors of the OED layout. The factors influencing on the accuracy of the geometric calibration of the interior orientation elements for OED are determined in the paper. The developed method for geometric calibration of the interior orientation parameters for multi-matrix OED provides high measurement accuracy – not more than 0.1''–0.2''.

About the Authors

M. A. Starasotnikau
Belarusian National Technical University; Peleng JSC
Belarus
Minsk


I. V. Padskrebkin
Peleng JSC
Belarus
Minsk


R. V. Feodortsau
Belarusian National Technical University
Belarus

Address for correspondence: Feodortsau Rostislav V. – Belarusian National Technical University, 22, Ya. Kolasа str., 220013, Minsk, Republic of Belarus. Tel.: +375 17 292-62-86

ltt@bntu.by


References

1. Starasotnikau N. O. (2014) Highly-Accurate Digital Autocollimator for Measuring Small Angles. Novye Napravleniya Razvitiya Priborostroeniya: Materialy 7-i Mezhdunar. Stud. Nauch.-Tekhn. Konf., 23–25 Apr. 2014 g. [New Directions in Instrumentation Development: Proceedings of the 7th International Students’ Scientific and Technical Conference, April 23–25, 2014]. Minsk, BNTU, 244 (in Russian).

2. Jinyun Yan, Jiang Jie, Zhang Guangjun (2016) Dynamic Imaging Model and Parameter Optimization for a Star Tracker. Optics Express, 24 (6), 5961–5983. https://doi.org/10.1364/oe.24.005961.

3. Xiaoming Yin, Xiang Li, Liping Zhao, Zhongping Fang (2009) Adaptive Thresholding and Dynamic Windowing Method for Automatic Centroid Detection of Digital Shack – Hartmann Wavefront Sensor. Applied Optics, 48 (32), 6088–6098. https://doi.org/10.1364/ao.48.006088.

4. Huang Zhengrong, Jiangtao Xi, Yanguang Yu (2015) Accurate Projector Calibration Based on a New Point to Point Mapping Relationship Between the Camera and Projector Images. Applied Optics, 54 (3), 347–356. https://doi.org/10.1364/ao.54.000347.

5. Lobanov A. N., Burov M. I., Krasnopevtsev B. V. (1987) Photogrammetry. Moscow, Nedra Publ. 308 (in Russian).

6. Arkhipov S. A., Gasitch G. V., Zavarzin V. I., Morozov S. A. (2008) Photogrammetric Parameters of Optical and Electronic Apparatus. Vestnik Moskovskogo Gosudarstvennogo Tekhnicheskogo Universiteta imeni N. E. Baumana = Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, (4), 105–115 (in Russian).

7. Starasotnikau N. O., Feodortsau R. V. (2015) Estimation of Accurate Determination for Coordinates of Gravity Energy Center in Collimator Test-Object in Respect of Control Schemes for Optoelectronic Devices with Matrix Photo-Detectors. Nauka i Tekhnika = Science & Technique, (5), 71–76 (in Russian).

8. Gonzalez R., Woods R., Eddins S. (2004) Digital Image Processing Using MatLab. New Jersey, Prentice Hall.

9. Starosotnikau N. O., Feodortsau R. V. (2016) Method for Decreasing Influence of Background Signal Noise while Determining Energy Gravity Centre Coordinates for Images in Electrooptical Devices. Priborostroenie-2016: Materialy 9-i Mezhdunar. Nauch.-Tekhn. Konf., 23–25 Noyab. 2016 g. [Instrumentation-2016: Materials of the 9th International Scientific and Technical Conference]. Minsk, Belarusian National Technical University, 133–135 (in Russian).

10. Starasotnikau N. O., Feodortsau R. V. (2018) Accuracy Comparison of Algorithms for Determination of Image Center Coordinates in Optoelectronic Devices. Nauka i Tekhnika = Science and Technique, 17 (1), 79–86. https://doi.org/10.21122/2227-1031-2018-17-1-79-86 (in Russian).


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For citations:


Starasotnikau M.A., Padskrebkin I.V., Feodortsau R.V. Method for Determining Elements of Internal Orientation Calibration in Multi-Matrix Optoelectronic Devices. Science & Technique. 2020;19(5):428-436. (In Russ.) https://doi.org/10.21122/2227-1031-2020-19-5-428-436

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ISSN 2227-1031 (Print)
ISSN 2414-0392 (Online)