Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image
The purpose of the article is to develop a three-stage procedure for identifying an anchor object in a noisy current image. This goal is achieved by determining the sampling threshold levels at which the greatest similarity of the compared images is ensured; development of a procedure for refining t...
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| Format: | Article |
| Language: | English |
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Academy of Sciences of Moldova
2024-02-01
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| Series: | Problems of the Regional Energetics |
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| Online Access: | https://journal.ie.asm.md/assets/files/08_01_61_2024.pdf |
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| author | Sotnikov O.M. Vorobiov O.M. Udovenko S.G. Kobzev I.V. Vlasiuk V.V. Kurbatov A.A. |
| author_facet | Sotnikov O.M. Vorobiov O.M. Udovenko S.G. Kobzev I.V. Vlasiuk V.V. Kurbatov A.A. |
| author_sort | Sotnikov O.M. |
| collection | DOAJ |
| description | The purpose of the article is to develop a three-stage procedure for identifying an anchor object in a noisy current image. This goal is achieved by determining the sampling threshold levels at which the greatest similarity of the compared images is ensured; development of a procedure for refining the maximum of the decision function by quantizing the current image. The solution to the first problem is based on the formation of a correlation field of radio brightness temperatures and the choice of a sampling threshold. It is proposed to use the cross-correlation coefficient as a criterion for the degree of image matching. The effectiveness of the procedure for selecting a fragment of a reference image is assessed based on the criterion of the probability of selecting a fragment of a reference image. It is shown that image noise can lead to a decrease in the probability of selecting a fragment of a reference image, down to 0.4. It is proposed to refine the maximum of the decision function based on the iteration method. The most significant results are the obtained dependences of the probability of choosing a fragment of the reference image on the threshold value and the signal-to-noise ratio, as well as the analytical relation for the asymptote of this dependence. The novelty of the work lies in the fact that the procedure for forming the decisive function has been further developed. This will significantly improve the operating efficiency of unmanned aerial vehicles, especially in conditions of interference. |
| format | Article |
| id | doaj-art-ec33f7d71cea4ba4a04cf709f30ed4e6 |
| institution | DOAJ |
| issn | 1857-0070 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Academy of Sciences of Moldova |
| record_format | Article |
| series | Problems of the Regional Energetics |
| spelling | doaj-art-ec33f7d71cea4ba4a04cf709f30ed4e62025-08-20T02:51:46ZengAcademy of Sciences of MoldovaProblems of the Regional Energetics1857-00702024-02-01611879810.52254/1857-0070.2024.1-61.08Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy ImageSotnikov O.M.0https://orcid.org/0000-0001-7303-0401Vorobiov O.M.1Udovenko S.G.2https://orcid.org/0000-0001-5945-8647Kobzev I.V.3Vlasiuk V.V.4https://orcid.org/0000-0002-2140-3250Kurbatov A.A.5https://orcid.org/0000-0003-1674-9588Kharkiv National University of the Air Force named after Ivan Kozhedub, Kharkiv, Ukraine.National University of Defense, Kyiv, Ukraine.Kharkiv National Economic University named after Semen Kuznets, Kharkiv, Ukraine.Kharkiv National Economic University named after Semen Kuznets, Kharkiv, Ukraine.Kyiv Institute of the National Guard of Ukraine, Kyiv, Ukraine.Kyiv Institute of the National Guard of Ukraine, Kyiv, Ukraine.The purpose of the article is to develop a three-stage procedure for identifying an anchor object in a noisy current image. This goal is achieved by determining the sampling threshold levels at which the greatest similarity of the compared images is ensured; development of a procedure for refining the maximum of the decision function by quantizing the current image. The solution to the first problem is based on the formation of a correlation field of radio brightness temperatures and the choice of a sampling threshold. It is proposed to use the cross-correlation coefficient as a criterion for the degree of image matching. The effectiveness of the procedure for selecting a fragment of a reference image is assessed based on the criterion of the probability of selecting a fragment of a reference image. It is shown that image noise can lead to a decrease in the probability of selecting a fragment of a reference image, down to 0.4. It is proposed to refine the maximum of the decision function based on the iteration method. The most significant results are the obtained dependences of the probability of choosing a fragment of the reference image on the threshold value and the signal-to-noise ratio, as well as the analytical relation for the asymptote of this dependence. The novelty of the work lies in the fact that the procedure for forming the decisive function has been further developed. This will significantly improve the operating efficiency of unmanned aerial vehicles, especially in conditions of interference.https://journal.ie.asm.md/assets/files/08_01_61_2024.pdfunmanned aerial vehiclethree-stage procedure for forming the decision functionimage discretization and quantizationprobability of choosing a fragment of the reference image. |
| spellingShingle | Sotnikov O.M. Vorobiov O.M. Udovenko S.G. Kobzev I.V. Vlasiuk V.V. Kurbatov A.A. Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image Problems of the Regional Energetics unmanned aerial vehicle three-stage procedure for forming the decision function image discretization and quantization probability of choosing a fragment of the reference image. |
| title | Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image |
| title_full | Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image |
| title_fullStr | Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image |
| title_full_unstemmed | Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image |
| title_short | Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image |
| title_sort | application of a three stage procedure for extracting a small sized anchor object on a noisy image |
| topic | unmanned aerial vehicle three-stage procedure for forming the decision function image discretization and quantization probability of choosing a fragment of the reference image. |
| url | https://journal.ie.asm.md/assets/files/08_01_61_2024.pdf |
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