Unmanned aerial vehicle data acquisition methodology and assessment of photogrammetric products for telecommunication mast inventory

References
- Alsadik, B. and Nex, F. (2021). The rise in UAV inspections for civil infrastructure. GIM International.
- Corbett, A. and Smith, B. (2022). A Study of a Miniature TDLAS System Onboard Two Unmanned Aircraft to Independently Quantify Methane Emissions from Oil and Gas Production Assets and Other Industrial Emitters. Atmosphere, 13(5):804, doi:10.3390/atmos13050804.
- Deidda, M., Pala, A., and Sanna, G. (2020). Modelling a cell tower using SFM: automated detection of structural elements from skeleton extraction on a point cloud. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020:399–406, doi:10.5194/isprs-archivesxliii-b2-2020-399-2020.
- He, T., Zeng, Y., and Hu, Z. (2019). Research of Multi-Rotor UAVs Detailed Autonomous Inspection Technology of Transmission Lines Based on Route Planning. IEEE Access, 7:114955–114965, doi:10.1109/access.2019.2935551.
- Hofer, M., Wendel, A., and Bischof, H. (2013). Line-based 3D reconstruction of wiry objects. In Proceedings of the 18th Computer Vision Winter Workshop, pages 78–85.
- Huang, W., Jiang, S., and Jiang, W. (2020). A Model-Driven Method for Pylon Reconstruction from Oblique UAV Images. Sensors, 20(3):824, doi:10.3390/s20030824.
- Isa, M. F. M., Rahim, N. Z. A., and Fathi, M. S. (2019). It’s a bird… It’s a plane… It’s a drone…: Telecommunication Tower Inspection Using Drone. In 2019 6th International Conference on Research and Innovation in Information Systems (ICRIIS), page 1–5. IEEE, doi:10.1109/icriis48246.2019.9073663.
- Jalil, B., Leone, G. R., Martinelli, M., Moroni, D., Pascali, M. A., and Berton, A. (2019). Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data. Sensors, 19(13):3014, doi:10.3390/s19133014.
- Jordan, S., Moore, J., Hovet, S., Box, J., Perry, J., Kirsche, K., Lewis, D., and Tse, Z. T. H. (2018). State‐of‐the‐art technologies for UAV inspections. IET Radar, Sonar and Navigation, 12(2):151–164, doi:10.1049/iet-rsn.2017.0251.
- Knyaz, V. A., Kniaz, V. V., Remondino, F., Zheltov, S. Y., and Gruen, A. (2020). 3D Reconstruction of a Complex Grid Structure Combining UAS Images and Deep Learning. Remote Sensing, 12(19):3128, doi:10.3390/rs12193128.
- Lenda, G. and Marmol, U. (2023). Integration of high-precision UAV laser scanning and terrestrial scanning measurements for determining the shape of a water tower. Measurement, 218:113178, doi:10.1016/j.measurement.2023.113178.
- Looye, G. (2011). Helical Flight Path Trajectories for Autopilot Evaluation, page 79–90. Springer Berlin Heidelberg, doi:10.1007/978-3-642-19817-5_7.
- Medeisis, A. and Radis, D. (2022). Design Principles for Consolidated Digital Twin of a Telecommunication Tower. In 2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), page 1–6. IEEE, doi:10.1109/estream56157.2022.9781769.
- Omairi, A., Ismail, Z. H., and Shapiai, M. I. (2024). Descriptor: A Comprehensive LiDAR Point Cloud Dataset of Telecommunication Towers (TowerScope). IEEE Data Descriptions, 1:103–108, doi:10.1109/ieeedata.2024.3483751.
- PIX4D (2021). How to Scan Cell Towers - PIX4Dcapture Pro. Online; accessed 2023-11-30.
- Qiao, Y., Xi, X., Wang, C., Du, M., Nie, S., Liu, W., and Fan, H. (2024). A framework for automated reconstruction of communication towers from terrestrial laser scanning point clouds. International Journal of Digital Earth, 17(1), doi:10.1080/17538947.2024.2366431.
- Remondino, F., Spera, M. G., Nocerino, E., Menna, F., and Nex, F. (2014). State of the art in high density image matching. The Photogrammetric Record, 29(146):144–166, doi:10.1111/phor.12063.
- Sathia Raj, D. S., TV, S., Shankar S, S., Yashvanth, V. P., Perepu, S. K., and Mohan, S. (2020). An Autonomous Drone with Robotic End Effector for Maintenance Operation of 5G Mobile Towers. In 2020 3rd International Conference on Control and Robots (ICCR), page 11–16. IEEE, doi:10.1109/iccr51572.2020.9344140.
- Siwiec, J. and Lenda, G. (2022). Integration of terrestrial laser scanning and structure from motion for the assessment of industrial chimney geometry. Measurement, 199:111404.
- SPH Engineering (2023). UgCS Shop Website. Online; accessed 2023-11-30.
- Sui, H., Asaba, K., Sakai, K., Miyanaga, S., and Cui, Y. (2025). Assessment of C2C-based point cloud comparison errors based on distribution characteristics of tunnel point clouds. International Journal of Remote Sensing, 46(6):2646–2664, doi:10.1080/01431161.2025.2457129.
- Szablowski, J. (2016). Examining the geometry of Tyholt Tower by using UAV, laser scanner and total station measurements. VC Technology Ltd (2023). Fly Litchi Website. Online; accessed 2023-11-30.
- Widerski, T. and Kurałowicz, Z. (2009). Geodesic monitoring of tower and mast structures. Reports on Geodesy, pages 411–417.
- Wrzosek, F. (2023). Finite Element Modelling of a Transmission Steel Lattice Tower Based on LiDAR Point Cloud Data. ce/papers, 6(3-4):1174–1178, doi:10.1002/cepa.2680.
- Zachar, P., Ostrowski, W., Płatek-Żak, A., and Kurczyński, Z. (2022). The Influence of Point Cloud Accuracy from Image Matching on Automatic Preparation of Training Datasets for Object Detection in UAV Images. ISPRS International Journal of Geo-Information, 11(11):565, doi:10.3390/ijgi11110565.
- Zhang, R., Yang, B., Xiao, W., Liang, F., Liu, Y., and Wang, Z. (2019). Automatic Extraction of High-Voltage Power Transmission Objects from UAV Lidar Point Clouds. Remote Sensing, 11(22):2600, doi:10.3390/rs11222600.
DOI: https://doi.org/10.2478/rgg-2026-0010 | Journal eISSN: 2391-8152 (formerly 0867-3179) | Journal ISSN: 0867-3179
Language: English
Page range: 36 - 46
Submitted on: Apr 14, 2026
Accepted on: Sep 29, 2026
Published online: Oct 28, 2026
Published in print: Dec 1, 2026
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2026 Paulina Zachar, Przemysław Banat, Magdalena Pilarska-Mazurek, Antoni Kopyt, Krzysztof Bakuła, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.