Analysis of video data from an unmanned aerial vehicle based on a structural similarity index

The article proposes a metric for the analysis of video data recorded by an unmanned aerial vehicle that uses a structural similarity index for evaluation. The metric consists in comparing frames in terms of brightness, contrast and pixel structure and a subsequent assessment of the video frame stat...

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Autores principales:	Lyakhov, P. A., Ляхов, П. А., Orazaev, A. R., Оразаев, А. Р.
Formato:	Статья
Lenguaje:	English
Publicado:	Institution of Russian Academy of Sciences 2025
Materias:	Digital image processing Video data analysis Structural similarity index measure Unmanned aerial vehicle Image quality assessment
Acceso en línea:	https://dspace.ncfu.ru/handle/123456789/31087
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spelling	ir-123456789-310872025-07-10T13:25:34Z Analysis of video data from an unmanned aerial vehicle based on a structural similarity index Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р. Digital image processing Video data analysis Structural similarity index measure Unmanned aerial vehicle Image quality assessment The article proposes a metric for the analysis of video data recorded by an unmanned aerial vehicle that uses a structural similarity index for evaluation. The metric consists in comparing frames in terms of brightness, contrast and pixel structure and a subsequent assessment of the video frame state. A comparative analysis of the proposed and currently employed metrics was carried out. The research included simulations on analog and digital video data at different frame rates. The results showed that the developed metric successfully detects delays, frame distortions and dynamic changes in a video scene. The proposed metric can find a wide range of applications of unmanned aerial vehicles in applied areas: construction, agriculture, geology and cartography. 2025-07-10T13:23:01Z 2025-07-10T13:23:01Z 2025 Статья Lyakhov P.A., Orazaev A.R. Analysis of video data from an unmanned aerial vehicle based on a structural similarity index // Computer Optics. - 2025. - 49 (4). - pp. 624 - 633. - DOI: 10.18287/2412-6179-CO-1569 https://dspace.ncfu.ru/handle/123456789/31087 en Computer Optics application/pdf application/pdf Institution of Russian Academy of Sciences
institution	СКФУ
collection	Репозиторий
language	English
topic	Digital image processing Video data analysis Structural similarity index measure Unmanned aerial vehicle Image quality assessment
spellingShingle	Digital image processing Video data analysis Structural similarity index measure Unmanned aerial vehicle Image quality assessment Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р. Analysis of video data from an unmanned aerial vehicle based on a structural similarity index
description	The article proposes a metric for the analysis of video data recorded by an unmanned aerial vehicle that uses a structural similarity index for evaluation. The metric consists in comparing frames in terms of brightness, contrast and pixel structure and a subsequent assessment of the video frame state. A comparative analysis of the proposed and currently employed metrics was carried out. The research included simulations on analog and digital video data at different frame rates. The results showed that the developed metric successfully detects delays, frame distortions and dynamic changes in a video scene. The proposed metric can find a wide range of applications of unmanned aerial vehicles in applied areas: construction, agriculture, geology and cartography.
format	Статья
author	Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р.
author_facet	Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р.
author_sort	Lyakhov, P. A.
title	Analysis of video data from an unmanned aerial vehicle based on a structural similarity index
title_short	Analysis of video data from an unmanned aerial vehicle based on a structural similarity index
title_full	Analysis of video data from an unmanned aerial vehicle based on a structural similarity index
title_fullStr	Analysis of video data from an unmanned aerial vehicle based on a structural similarity index
title_full_unstemmed	Analysis of video data from an unmanned aerial vehicle based on a structural similarity index
title_sort	analysis of video data from an unmanned aerial vehicle based on a structural similarity index
publisher	Institution of Russian Academy of Sciences
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/31087
work_keys_str_mv	AT lyakhovpa analysisofvideodatafromanunmannedaerialvehiclebasedonastructuralsimilarityindex AT lâhovpa analysisofvideodatafromanunmannedaerialvehiclebasedonastructuralsimilarityindex AT orazaevar analysisofvideodatafromanunmannedaerialvehiclebasedonastructuralsimilarityindex AT orazaevar analysisofvideodatafromanunmannedaerialvehiclebasedonastructuralsimilarityindex
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Analysis of video data from an unmanned aerial vehicle based on a structural similarity index

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