UAV-BASED STRUCTURAL DAMAGE MAPPING – RESULTS FROM 6 YEARS OF RESEARCH IN TWO EUROPEAN PROJECTS

16 citations as recorded by crossref.

1. Deep Learning Image-Based Classification for Post-Earthquake Damage Level Prediction Using UAVs N. Alsaaran & A. Soudani https://doi.org/10.3390/s25175406
2. Evaluating Resilience-Centered Development Interventions with Remote Sensing N. Kerle et al. https://doi.org/10.3390/rs11212511
3. Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks S. Tilon et al. https://doi.org/10.3390/rs12244193
4. Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks S. Wang et al. https://doi.org/10.1038/s41598-024-71989-w
5. A review on artificial intelligence applications for facades A. Duran et al. https://doi.org/10.1016/j.buildenv.2024.112310
6. UAV based falling-object risk assessment of damaged building façades using visible and thermal infrared images J. Li et al. https://doi.org/10.1016/j.ige.2026.06.009
7. A Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection G. Abdi & S. Jabari https://doi.org/10.1080/07038992.2021.1925530
8. Teaching UAV Photogrammetry in Non-Geodetic Degree Courses: the Example of TU Braunschweig A. Alamouri & C. Berger https://doi.org/10.1007/s41064-025-00331-4
9. Detection of damaged buildings after an earthquake with convolutional neural networks in conjunction with image segmentation R. Ünlü & R. Kiriş https://doi.org/10.1007/s00371-020-02043-9
10. A framework for earthquake seismic signal classification with the aid of hybrid feature selection schemes and robust machine learning models S. Prabhakar & D. Won https://doi.org/10.3389/feart.2026.1748893
11. Advances in Ground Penetrating Radar for Disaster Damage Evaluation Y. Xu et al. https://doi.org/10.1109/ACCESS.2026.3711607
12. UAV-Based Structural Damage Mapping: A Review N. Kerle et al. https://doi.org/10.3390/ijgi9010014
13. A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications S. Kim et al. https://doi.org/10.1016/j.measurement.2023.113886
14. Review article: Towards resilient vital infrastructure systems – challenges, opportunities, and future research agenda S. Mehvar et al. https://doi.org/10.5194/nhess-21-1383-2021
15. Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery M. Atik https://doi.org/10.3390/s25102995
16. Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions F. Nex et al. https://doi.org/10.3390/rs11232765