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

8 citations as recorded by crossref.

1. Evaluating Resilience-Centered Development Interventions with Remote Sensing N. Kerle et al. 10.3390/rs11212511
2. Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks S. Tilon et al. 10.3390/rs12244193
3. UAV-Based Structural Damage Mapping: A Review N. Kerle et al. 10.3390/ijgi9010014
4. A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications S. Kim et al. 10.1016/j.measurement.2023.113886
5. A Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection G. Abdi & S. Jabari 10.1080/07038992.2021.1925530
6. Review article: Towards resilient vital infrastructure systems – challenges, opportunities, and future research agenda S. Mehvar et al. 10.5194/nhess-21-1383-2021
7. Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions F. Nex et al. 10.3390/rs11232765
8. Detection of damaged buildings after an earthquake with convolutional neural networks in conjunction with image segmentation R. Ünlü & R. Kiriş 10.1007/s00371-020-02043-9