Issue 2 (216), article 1

DOI:

Cybernetics and Computer Engineering, 2024,2(216)

Volkov O.Ye., PhD (Engineering), Senior Researcher,
Director
https://orcid.org/0000-0002-5418-6723,
e-mail: alexvolk@ukr.net

Dzhebrailov R.Yu., PhD Student,
Junior Researcher of the Research Laboratory of Unmanned Complexes and Systems,
https://orcid.org/0000-0002-4473-9670,
e-mail: rombik1197@gmail.com

International Research and Training Center
for Information Technologies and Systems
of the National Academy of Science of Ukraine
and the Ministry of Education and Science of Ukraine.
40, Acad. Glushkov av., 03187, Kyiv, Ukraine

TESTING THE METHOD OF TOPOGRAPHIC AFFINITY OF IMAGES ON IMAGES OF THE EARTH’S SURFACE

Introduction. In connection with the development of the method of topographic affinity of images, it became necessary to conduct its testing according to the criteria of workability and efficiency.

The purpose of the paper is to test the method of determining the topographic affinity of images based on taking into account the detected special zones on the images of the natural landscape for the autonomous navigation of UAVs.

Results. According to the results of testing for three tasks, the method showed its effectiveness at the level of 100%.

Conclusions. The method of topographic affinity of images can work with a large number of complex and diverse images of the Earth’s surface, which cannot be analyzed by other known methods, and with high efficiency. It can be used to build a system of autonomous navigation of UAVs separately or together with other methods.

Keywords: unmanned aerial vehicle, unmanned aircraft complex, autonomous navigation, special points, special areas, method of analysis of special areas of images.

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REFERENCES

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2. Ronghao Li, Pengqi Gao, Xiangyuan Cai, Xiaotong Chen, Jiangnan Wei, Yinqian Cheng, Hongying Zhao. A Real-Time Incremental Video Mosaic Framework for UAV. Remote Sens. 2023, No, 15, pp. 250–264.

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4. Dzhebrailov R.Yu.,  Gospodarchuk O.Yu. Detection of Special Zones as a Basis for the Method of Topographic Affinity of Images Cybernetics and Computer Engineering, 2024, № 1, pp. 20–34.  https://doi.org/10.15407/kvt215.01.020 [In Ukrainian]

Received 23.03.2024