Statistical properties of image pixel brightness from the onboard optical system

Authors

  • Andrei S. Solonar
  • Sergei V. Tsuprik
  • Petr A. Khmarskiy

Keywords:

Image processing, Unmanned aerial vehicle, Optical location system, Image pixel brightness

Abstract

The research of statistical properties of image pixel brightness has been carried out, allowing us to improve the quality of the choice of the required mathematical model. The results of the analysis of ground-based background-target videos obtained by an unmanned aerial vehicle's onboard optical-location system are presented. The requirements to the mathematical model of brightness in the ground-based noise-target environment is formulated

References

Ali, B., Sadekov, R. N., & Tsodokova, V. V. (2022). A Review of Navigation Algorithms for Unmanned Aerial Vehicles Based on Computer Vision Systems. Gyroscopy and Navigation, 13(4), 241-252.

Artemiev, V. M., Naumov, A. O., & Kohan, L. L. (2014). Image Processing in Passive Survey and Search Optoelectronic Systems. Minsk, Belaruskaya navuka Publ, 116.

Artemiev, V. M., Naumov, A. O., & Kohan, L. L. (2010). Point objects detection in the case of uncertainty. Informatika= Informatics, (2), 15-24.

Mueller, K., Atman, J., & Trommer, G. F. (2019). Combination of wide baseline image matching and tracking for autonomous uav approaches to a window. Gyroscopy and Navigation, 10, 206-215.

Hecker, P., Angermann, M., Bestmann, U., Dekiert, A., & Wolkow, S. (2019). Optical aircraft positioning for monitoring of the integrated navigation system during landing approach. Gyroscopy and Navigation, 10, 216-230.

Solonar, A. S., & Khmarski, P. A. (2021, May). Main problems of trajectory processing and approaches to their solution within the framework of multitarget tracking. In Journal of Physics: Conference Series (Vol. 1864, No. 1, p. 012004). IOP Publishing.

Solonar, A. S., Khmarskiy, P. A., Mihalkovskiy, A. A., & Tsuprik, S. V. (2018, May). Features of trajector measurement coordinates and parameters of movement of ground objects in on-board optical-location systems. In 2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS) (pp. 1-5). IEEE.

Downloads

Published

2023-07-30