A method for assessing the influence of geometric image distortions on the results of their comparison within the correlation-extreme algorithm
Heading:
| 1Bykov, VN, 2Osinovyj, GG, 2Kozis, KV, 1Khardikov, VV, 3Kozhushko, Y, 1Berezhna, T 1Department of Technical Radiophysics, V.N. Karazin Kharkiv National University, Kharkiv, Ukraine 2Yangel Yuzhnoye State Design Office, Dnipro, Ukraine 3State Scientific Research Institute of Armament and Military Equipment Testing and Certification, Cherkasy, Ukraine |
| Space Sci. & Technol. 2025, 31 ;(4):54-61 |
| https://doi.org/10.15407/knit2025.04.054 |
| Publication Language: English |
Abstract: The article presents a comprehensive study of methods for quantifying the potential accuracy of determining the coordinates of various types of objects using matrix correlation-extreme navigation systems. Three main categories of objects are considered: point objects (occupying a small part of the frame), extended objects, and planar objects (occupying a significant part of the frame), which can be either tangent or non-tangent to the observation system. Particular attention is paid to the analysis of factors that affect the accuracy of measuring the coordinates of these objects. These include geometrical parameters of objects, their spatial orientation, contrast relative to the background, lighting conditions, atmospheric phenomena, and technical characteristics of matrix sensors. Mathematical models describing the relationship between these factors and the potential measurement accuracy are presented. The peculiarities of step-by-step object navigation using matrix correlation-extreme navigation systems are investigated, which can significantly improve
the accuracy of coordinate determination. The algorithms for optimising the process of sighting, accounting for the specifics of different types of objects, are proposed. The methods of compensation for systematic errors and minimisation of the influence of random interference are considered. The results of experimental studies confirming the effectiveness of the proposed methods of accuracy assessment are presented. It is established that with the optimal choice of system parameters and information processing algorithms, it is possible to achieve high accuracy in determining the coordinates of all types of objects under study. The developed methods and algorithms can be effectively used in the design and configuration of matrix correlation-extreme navigation systems for various practical applications,
including navigation systems for robotic systems and other moving objects, where high accuracy of coordinate determination relative to ground reference points is required. The obtained results create a theoretical basis for further improvement of methods for increasing the accuracy of matrix correlation-extreme navigation systems and expanding the scope of their practical application. |
| Keywords: Aviation and rocket-space engineering, correlation-extreme navigation systems, design parameters, process modelling |
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2. Antyufeyev V. I., Bykov V. M., Chmil V. V. (2005). Theoretical evaluation of the effectiveness of the correlation algorithm for image combination in correlation-extreme navigation systems. Radiotechnology, Issue 143, 65-71.
3. Antyufeyev V. I., Bykov V. M., Hrychanyuk O. M., Miroshnyk T. V., Shokin M. G. (2007). Accuracy characteristics of imag combinatorial algorithms in correlation-extreme navigation systems. Collection of scientific papers of the Joint Research Institute of the Armed Forces, Issue 1(6), 107-120.
4. Babich O. A. (1991). Information processing in navigation complexes. M: Mashinostroitelstvo, 512 p.
5. Bykov V., Osinovyj G., Kozis K. (2023). Methods of active and passive electronic protection of small ground objects from radiometric millimeter detection. Space Science and Technology, 29(5), 99=105.
https://doi.org/10.15407/knit2023.05.099
6. Gruzman I. S., Kirichuk V. S., Kosykh V. P., et al. (2000). Digital image processing in information systems. Textbook. NSTU Publishing House, 168 p.
7. Hsu D. A. (2009). An analysis of error distribution in navigation. J. Navigation, 32, № 3, 426-429.
https://doi.org/10.1017/S037346330002631X
8. Keys R. G. (1981). Cubic convolution interpolation for Digital Image Processing. IEEE Trans. Acoust., Speech, Signal Processing, 29, № 6, 1153-1160.
https://doi.org/10.1109/TASSP.1981.1163711
9. Mezentsev O. V., Osinovyy G. G., Kozis K. V. (2023). Structures of adaptive signal processing systems for radar sensors of external information for correlation-extreme aircraft navigation systems. Space Science and Technology, 29(6), 102-106.
https://doi.org/10.15407/knit2023.06.102
10. Vorokhobin I. I., Fusar I. Y. (2018). Increasing the accuracy of ship observation under the condition of redundant measurements. Automation of ship technical means: scientific and technical collection, 24, 27-33
https://doi.org/10.31653/1819-3293-2018-1-24-27-33