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Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images

In some applications of thermography, spatial orientation of the thermal infrared information can be desirable. By the photogrammetric processing of thermal infrared (TIR) images, it is possible to create 2D and 3D results augmented by thermal infrared information. On the augmented 2D and 3D results...

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Detalles Bibliográficos
Autores principales: Dlesk, Adam, Vach, Karel, Pavelka, Karel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876619/
https://www.ncbi.nlm.nih.gov/pubmed/35214557
http://dx.doi.org/10.3390/s22041655
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author Dlesk, Adam
Vach, Karel
Pavelka, Karel
author_facet Dlesk, Adam
Vach, Karel
Pavelka, Karel
author_sort Dlesk, Adam
collection PubMed
description In some applications of thermography, spatial orientation of the thermal infrared information can be desirable. By the photogrammetric processing of thermal infrared (TIR) images, it is possible to create 2D and 3D results augmented by thermal infrared information. On the augmented 2D and 3D results, it is possible to locate thermal occurrences in the coordinate system and to determine their scale, length, area or volume. However, photogrammetric processing of TIR images is difficult due to negative factors which are caused by the natural character of TIR images. Among the negative factors are the lower resolution of TIR images compared to RGB images and lack of visible features on the TIR images. To eliminate these negative factors, two methods of photogrammetric co-processing of TIR and RGB images were designed. Both methods require a fixed system of TIR and RGB cameras and for each TIR image a corresponding RGB image must be captured. One of the methods was termed sharpening and the result of this method is mainly an augmented orthophoto, and an augmented texture of the 3D model. The second method was termed reprojection and the result of this method is a point cloud augmented by thermal infrared information. The details of the designed methods, as well as the experiments related to the methods, are presented in this article.
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spelling pubmed-88766192022-02-26 Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images Dlesk, Adam Vach, Karel Pavelka, Karel Sensors (Basel) Article In some applications of thermography, spatial orientation of the thermal infrared information can be desirable. By the photogrammetric processing of thermal infrared (TIR) images, it is possible to create 2D and 3D results augmented by thermal infrared information. On the augmented 2D and 3D results, it is possible to locate thermal occurrences in the coordinate system and to determine their scale, length, area or volume. However, photogrammetric processing of TIR images is difficult due to negative factors which are caused by the natural character of TIR images. Among the negative factors are the lower resolution of TIR images compared to RGB images and lack of visible features on the TIR images. To eliminate these negative factors, two methods of photogrammetric co-processing of TIR and RGB images were designed. Both methods require a fixed system of TIR and RGB cameras and for each TIR image a corresponding RGB image must be captured. One of the methods was termed sharpening and the result of this method is mainly an augmented orthophoto, and an augmented texture of the 3D model. The second method was termed reprojection and the result of this method is a point cloud augmented by thermal infrared information. The details of the designed methods, as well as the experiments related to the methods, are presented in this article. MDPI 2022-02-20 /pmc/articles/PMC8876619/ /pubmed/35214557 http://dx.doi.org/10.3390/s22041655 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dlesk, Adam
Vach, Karel
Pavelka, Karel
Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images
title Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images
title_full Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images
title_fullStr Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images
title_full_unstemmed Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images
title_short Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images
title_sort photogrammetric co-processing of thermal infrared images and rgb images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876619/
https://www.ncbi.nlm.nih.gov/pubmed/35214557
http://dx.doi.org/10.3390/s22041655
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