Testing the Method of Topographic Affinity of Images on Images of the Earth's Surface

Author:

,VOLKOV O.Ye.ORCID,DZHEBRAILOV R.Yu.ORCID

Abstract

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 testing of 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.

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)

Reference4 articles.

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2. 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.

3. 3. Autonomous navigation system for unmanned aerial vehicle based on topographic clustering of visual images : pat. UA 121833 C2 Ukraine: 2020.01. № a 2019 05904; application for application filed 29.05.2019 ; published 27.07.2020, Bulletin No. 14. 18 p. [In Ukrainian]

4. 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. [In Ukrainian]

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