THE METHOD OF STATISTICAL EVALUATION ERRORS IN OPTICAL AND GEOMETRIC DATA FOR INFORMATION PROCESSING AND ANALYSIS SPACE ASSETS
- Authors: Lavrov R.O.1, Chashin I.V.1, Ivanyu A.Y.1, Ivanyu A.V.1
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Affiliations:
- Mozhaisky Military Aerospace Academy
- Issue: No 3 (2025)
- Pages: 153-166
- Section: MODELS, SYSTEMS, MECHANISMS IN THE TECHNIQUE
- URL: https://journal-vniispk.ru/2227-8486/article/view/360445
- DOI: https://doi.org/10.21685/2227-8486-2025-3-12
- ID: 360445
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Abstract
Background. The paper raises the problem of reducing the statistical error in the formation of projection parameters of optoelectronic images of space objects using a three-dimensional opto-geometric model, since the use of existing methods for constructing such models is limited by the uncertainty of the angle of the space object and the size of its geometric primitives, which leads to alignment errors beyond the statistical error. Materials and methods. To overcome these limitations in the formation of image projection parameters, a variant of constructing a projective configuration based on the use of a mechanism for perceiving the depth of a scene when it is displayed on the image plane is proposed. Results. An algorithm for determining diffuse reflection coefficients has been developed based on a formal representation of the optical characteristics vectors of the structural elements of a space object and leading to a reduction in uncertainty when dividing surfaces into equivalence classes according to the diffuse reflection coefficient. Conclusions. The fundamental difference between the proposed approach is a qualitatively different instrumental support for determining diffuse reflection coefficients by analyzing the topology of the structural elements of a space object.
About the authors
Roman O. Lavrov
Mozhaisky Military Aerospace Academy
Author for correspondence.
Email: vka@mil.ru
Candidate of technical sciences, associate professor, deputy head of the sub-department of metrological support of armaments, military and special equipment
(13 Zhdanovskaya street, Saint Petersburg, Russia)Igor V. Chashin
Mozhaisky Military Aerospace Academy
Email: vka@mil.ru
Candidate of technical sciences, lecturer of the sub-department of metrological support of armaments, military and special equipment
(13 Zhdanovskaya street, Saint Petersburg, Russia)Anna Yu. Ivanyu
Mozhaisky Military Aerospace Academy
Email: vka@mil.ru
Candidate of technical sciences, head of the educational laboratory of the sub-department of metrological support of armaments, military and special equipment
(13 Zhdanovskaya street, Saint Petersburg, Russia)Anton V. Ivanyu
Mozhaisky Military Aerospace Academy
Email: vka@mil.ru
Head of the course
(13 Zhdanovskaya street, Saint Petersburg, Russia)References
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