Autors: Dimitrov, K. L., Damyanov, I. S.
Title: Thermal Infrared Imaging of Near-Freezing Objects with Unmanned Aerial Vehicles and the Influence of Observation Height in Real Conditions
Keywords: Near-Freezing Objects, Nonlinear Curve Fitting, Observation Height, Thermal Infrared Imaging, Unmanned Aerial Vehicles (UAVs)

Abstract: Thermal infrared imaging using unmanned aerial vehicles (UAVs) has become a vital tool for monitoring large objects with relatively constant temperatures. This study investigates how the height at which UAVs operate influences the thermal infrared measurements of such objects. Despite the objects maintaining a stable temperature, the results reveal significant variations in thermal readings at different altitudes. Analysis shows that these discrepancies are closely linked to specific components of the radiation transfer equation, particularly atmospheric attenuation, surface emissivity, and emission from atmospheric volume. Understanding these tendencies is crucial for optimizing UAV-based thermal imaging applications, ensuring accurate data collection, and improving the reliability of temperature assessments from varying heights. This research provides insights into the complex interaction between measurement altitude and thermal infrared imaging accuracy, offering guidance for future UAV thermal imaging missions.

References

  1. L. Jian, Z. Li, X. Yang, W. Wu, A. Ahmad and G. Jeon, "Combining Unmanned Aerial Vehicles With Artificial-Intelligence Technology for Traffic-Congestion Recognition: Electronic Eyes in the Skies to Spot Clogged Roads, " in IEEE Consumer Electronics Magazine, vol. 8, no. 3, pp. 81-86, May 2019, doi: 10.1109/MCE.2019.2892286.
  2. G. D. Mladenov; Application of methodology for the organization of a roundabout to increase the capacity of a conventional intersection of Sofia. Part I: Geometric characteristics. AIP Conf. Proc. 24 April 2024; 3078 (1): 050005. https://doi.org/10.1063/5.0208258
  3. G. Salvo, L. Caruso, A. Scordo, "Urban Traffic Analysis through an UAV", Elsevier, Procedia-Social and Behavioral Sciences, vol. 111, pp. 1083-1091, 2014.
  4. G. D. Mladenov, S. P. Stoyanov; Application of methodology for the organization of a roundabout to increase the capacity of a conventional intersection of Sofia. Part II: Road traffic loading. AIP Conf. Proc. 24 April 2024; 3078 (1): 050006. https://doi.org/10.1063/5.0208260
  5. L. Feng, H. Tian, Z. Qiao, M. Zhao and Y. Liu, "Detailed Variations in Urban Surface Temperatures Exploration Based on Unmanned Aerial Vehicle Thermography, " in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 204-216, 2020, doi: 10.1109/JSTARS.2019.2954852.
  6. G. D. Mladenov, D. N. Saliev, H. Abdurahman; Integrated brake disc temperature measurement system. AIP Conf. Proc. 1 September 2022; 2449 (1): 050008. https://doi.org/10.1063/5.0091883
  7. S. Stagakis et al., "Spatiotemporal monitoring of surface temperature in an urban area using UAV imaging and tower-mounted radiometer measurements, " 2019 Joint Urban Remote Sensing Event (JURSE), Vannes, France, 2019, pp. 1-4, doi: 10.1109/JURSE.2019.8808958.
  8. R. Mitra, J. Hackel, A. Das, S. Dorafshan and N. Kaabouch, "A UAV Payload for Real-Time Inspection of Highway Ancillary Structures, " 2022 IEEE International Conference on Electro Information Technology (eIT), Mankato, MN, USA, 2022, pp. 411-416, doi: 10.1109/eIT53891.2022.9813851.
  9. D. R. Green, Unmanned Aerial Remote Sensing: UAS for Environmental Applications, United Kingdom: CRC Press, 2020.
  10. F. G. Toro, A. Tsourdo, UAV Or Drones for Remote Sensing Applications: vol. 1, Switzerland: MDPI AG, 2018.
  11. F. G. Toro, A. Tsourdo, UAV or Drones for Remote Sensing Applications: vol. 2, Switzerland: MDPI AG, 2018.
  12. M. Schlessinger, Infrared Technology Fundamentals, CRC Press, 1994.
  13. J. Miller, Principles of Infrared Technology: A Practical Guide to the State of the Art, Springer Science & Business Media, 2012.
  14. W. Wolfe, Introduction to Radiometry, SPIE Press, 1998.
  15. Z. Zhang, B. Tsai, G. Machin, Radiometric Temperature Measurements: II. Applications, Academic Press, 2009.
  16. https://www.dji.com/bg/mavic-2-enterprise
  17. K. Stamnes, G. Thomas, J. Stamnes, Radiative Transfer in the Atmosphere and Ocean, Cambridge University Press, 2017.
  18. Jose Unpingco, Python for Probability, Statistics, and Machine Learning, Springer International Publishing, 2019.
  19. E. B. Magrab, Engineering Statistics. An Introduction, Springer International Publishing, 2022.
  20. G. Mount, Advancing Into Analytics: From Excel to Python and R, O'Reilly Media, Incorporated, 2021.

Issue

National Conference with International Participation, TELECOM, 2024, , https://doi.org/10.1109/TELECOM63374.2024.10812235

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus