Application Of Uavs Based On The Wavelet Transform Technology In Military Operations: Scouting, Target Location And Navigation

Keywords: wavelet, function, remote sensing, signal processing, intelligence gathering, identification purposes.

Abstract

This paper focuses on the use of unmanned aerial vehicles (UAVs), which work based on the use of wavelet transform as a basic framework to provide high-resolution images and realize a large reconnaissance observation area. The use of this architecture in military conditions is motivated by its ability to carry out reconnaissance, target detection, navigation and monitoring of territories with high accuracy, which allows the military to carry out operational planning and make effective decisions based on the collected information. The functionality of the wavelet transformation in the navigation of the UAV in space was analyzed using the example of the implementation of this technology in the denoising mechanism in the gyroscope of the UAV. The discrete wavelet function in the discrete wavelet transform is described and the mathematical aspect of finding the coefficient of the discrete wavelet translation is given. It is emphasized that the purpose of wavelet transformation in the context of image denoising is to extract the useful signal and eliminate the interference signal in the original signal. Wavelet denoising is characterized and the main attention is paid to the threshold method of denoising with a full description of its stages. It is noted that the wavelet transformation is a mathematical tool for processing signals and images, offering unique advantages in expanding the capabilities of UAVs in the field of intelligence. By applying wavelet transform algorithms to data received by onboard sensors, UAVs can efficiently process and analyze the resulting high-resolution images and complete situational awareness over vast geographic areas. In general, in the course of this study, a review of the integration of innovative wavelet-transformation technology into UAV systems is conducted, which revolutionizes the approach to conducting military operations in today's conditions. The described functionality helps the military to plan routes and choose the most effective ways of movement, taking into account current changes.

References

1. Slyusar V., Protsenko M., Chernukha A., Gornostal S., Rudakov S., Shevchenko S., Chernikov O., Kolpachenko N., Timofeyev V., Artiukh R. Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform. Eastern-European Journal of Enterprise Technologies. 2021. №4. P. 65 - 77.
2. Nashat A., Hussain Hassan, N. Image compression based upon Wavelet Transform and a statistical threshold. 2016 International Conference on Optoelectronics and Image Processing (ICOIP). 2016.
3. Smith J., Johnson R. Military Robotics: Latest Trends and Spatial Wavelet Interpolation Techniques. 2020.
4. Singer P. Drone Warfare: The Development of Unmanned Aerial Conflict. 2014.
5. Chui C. Introduction to Wavelets and Wavelet Transforms: A Primer. 2016.

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Published
2024-06-16
How to Cite
Dmitrenko , T. (2024). Application Of Uavs Based On The Wavelet Transform Technology In Military Operations: Scouting, Target Location And Navigation. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (55), 87-92. https://doi.org/10.36910/6775-2524-0560-2024-55-10
Section
Computer science and computer engineering