DOI QR코드

DOI QR Code

Dense Thermal 3D Point Cloud Generation of Building Envelope by Drone-based Photogrammetry

  • Jo, Hyeon Jeong (Interdisciplinary Major of Ocean Renewable Energy Engineering, Korea Maritime and Ocean University) ;
  • Jang, Yeong Jae (Korea Ocean Satellite Center, Korea Institute of Ocean Science & Technology) ;
  • Lee, Jae Wang (Dept. of Civil Engineering, Korea Maritime and Ocean University) ;
  • Oh, Jae Hong (Dept. of Civil Engineering, Korea Maritime and Ocean University)
  • 투고 : 2021.04.08
  • 심사 : 2021.04.23
  • 발행 : 2021.04.30

초록

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.

키워드

과제정보

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2019R1I1A3A01062109).

참고문헌

  1. Fokaides, P.A. and Kalogirou, S.A. (2011), Application of infrared thermography for the determination of the overall heat transfer coecient (U-Value) in building envelopes, Applied Energy, Vol. 88, No. 12, pp.4358-4365. https://doi.org/10.1016/j.apenergy.2011.05.014
  2. Fraser, C.S. (1997), Digital camera self calibration, ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 52, pp. 149-159. https://doi.org/10.1016/S0924-2716(97)00005-1
  3. Ham, G.W., Lee, J.M., Bae, K.H., and Park, H.G. (2019), A study on agricultural drought monitoring using drone thermal and hyperspectral sensor, Journal of the Korean Association of Geographic Information Studies, Vol. 22, No. 3, pp.107-119. (in Korean with English abstract) https://doi.org/10.11108/KAGIS.2019.22.3.107
  4. Jeong, H., Kwon, G.R., and Lee, S.W. (2020), Deterioration diagnosis of solar module using thermal and visible image processing, Energies, Vol. 13, No. 11, p.2856 https://doi.org/10.3390/en13112856
  5. Lee, J.G., Ryu, Y.C., Kim, Y.H., Choi, W., and Kim, H.J. (2018), Drone infrared thermography method for leakage inspection of reservoir embankment, Journal of the Korean Society of Agricultural Engineers, Vol. 60, No. 6, pp.21-31. (in Korean with English abstract) https://doi.org/10.5389/KSAE.2018.60.6.021
  6. Lin, D., Jarzabek-Rychardb, M., Tong, X., and Maas, H.G. (2019), Fusion of thermal imagery with point clouds for building facade thermal attribute mapping, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 151, pp.162-175. https://doi.org/10.1016/j.isprsjprs.2019.03.010
  7. Mcglone, C., Mikhail E., and Bethel, J. (2004), Manual of Photogrammetry, Fifth ed, ASPRS. pp.870-879.
  8. Oh, J.H., Lee, C.N., and Eo, Y.D. (2006), A photogrammetric network and object field design for efficient self-calibration of non-metric digital Cameras, Korean Journal of Geomatics, Vol. 24, No. 3, pp. 281-288. (in Korean with English abstract)
  9. Oh, Y.G. (2018), Solar Panel Detection and Monitoring Using a Multi-sensor Drone, Master's thesis, University of Seoul, Seoul, Korea, 79p. (in Korean with English abstract)
  10. O'Grady, M., Lechowska, A.A., and Harte, A.M. (2018), Application of infrared thermography technique to the thermal assessment of multiple thermal bridges and windows, Energy and Building. Vol. 168, pp.347-362. https://doi.org/10.1016/j.enbuild.2018.03.034
  11. Truong, T.P., Yamaguchi, M., Mori, S., Nozick, V., and Saito, H. (2017), Registration of RGB and thermal point clouds generated by structure from motion, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 22-29 Oct, Venice, Italy, pp.419-427.