Dense thermal 3d point cloud generation of building envelope by drone-based photogrammetry
SCOPUS
KCI
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Title
- Dense thermal 3d point cloud generation of building envelope by drone-based photogrammetry
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Author(s)
- Jo, Hyeon Jeong; Jang, Yeong Jae; Lee, Jae Wang; Oh, Jae Hong
- KIOST Author(s)
- Jang, Yeong Jae(장영재)
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Alternative Author(s)
- 장영재
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Publication Year
- 2021-06
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Abstract
- Recently there are growing interests on the energy conservation and emission reduction. In the fields of architecture and civil engineering, the energy monitoring of structures is required to response the energy issues. In perspective of thermal monitoring, thermal images gains popularity for their rich visual information. With the rapid development of the drone platform, aerial thermal images acquired using drone can be used to monitor not only a part of structure, but wider coverage. In addition, the stereo photogrammetric process is expected to generate 3D point cloud with thermal information. However thermal images show very poor in resolution with narrow field of view that limit the use of drone-based thermal photogrammety. In the study, we aimed to generate 3D thermal point cloud using visible and thermal images. The visible images show high spatial resolution being able to generate precise and dense point clouds. Then we extract thermal information from thermal images to assign them onto the point clouds by precisely establishing photogrammetric collinearity between the point clouds and thermal images. From the experiment, we successfully generate dense 3D thermal point cloud showing 3D thermal distribution over the building structure © 2020 by author(s).
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ISSN
- 1598-4850
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/42224
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DOI
- 10.7848/ksgpc.2021.39.2.73
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Bibliographic Citation
- Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.39, no.2, pp.73 - 79, 2021
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Publisher
- Korean Society of Surveying
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Keywords
- Bundle adjustment; Drone photogrammetry; Point cloud; Thermal camera; 3d thermal information
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Type
- Article
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Language
- English
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Document Type
- Article
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