TOWARDS A MORE EFFICIENT DETECTION OF EARTHQUAKE INDUCED FAÇADE DAMAGES USING OBLIQUE UAV IMAGERY

34 citations as recorded by crossref.

1. A predictive multistage postdisaster damage assessment framework for drone routing B. Adsanver et al. 10.1111/itor.13429
2. Semisupervised classification of hurricane damage from postevent aerial imagery using deep learning Y. Li et al. 10.1117/1.JRS.12.045008
3. Deep Learning Models for Hazard-Damaged Building Detection Using Remote Sensing Datasets: A Comprehensive Review L. Wang et al. 10.1109/JSTARS.2024.3449097
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. Applications, databases and open computer vision research from drone videos and images: a survey Y. Akbari et al. 10.1007/s10462-020-09943-1
6. Detection of seismic façade damages with multi-temporal oblique aerial imagery D. Duarte et al. 10.1080/15481603.2020.1768768
7. 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
8. Building Damage Assessment From Post-Hurricane Imageries Using Unsupervised Domain Adaptation With Enhanced Feature Discrimination C. Lin et al. 10.1109/TGRS.2021.3054869
9. BINGO: brain-inspired learning memory P. Chakraborty & S. Bhunia 10.1007/s00521-021-06484-8
10. UAV-based investigation of earthquake-induced deformation and landscape changes: a case study of the February 6, 2023 Earthquakes in Hatay, Türkiye N. Polat 10.1007/s12145-023-01128-y
11. Multi-UAV Rapid-Assessment Task-Assignment Problem in a Post-Earthquake Scenario M. Zhu et al. 10.1109/ACCESS.2019.2920736
12. A Survey on UAV Applications in Smart City Management: Challenges, Advances, and Opportunities H. Xu et al. 10.1109/JSTARS.2023.3317500
13. Multi-Resolution Feature Fusion for Image Classification of Building Damages with Convolutional Neural Networks D. Duarte et al. 10.3390/rs10101636
14. A coarse-to-fine visual geo-localization method for GNSS-denied UAV with oblique-view imagery Q. Ye et al. 10.1016/j.isprsjprs.2024.05.006
15. Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets Y. Bai et al. 10.3390/rs12244055
16. Boosting the Timeliness of UAV Large Scale Mapping. Direct Georeferencing Approaches: Operational Strategies and Best Practices L. Teppati Losè et al. 10.3390/ijgi9100578
17. Unmanned aerial systems in search and rescue: A global perspective on current challenges and future applications C. Quero & J. Martinez-Carranza 10.1016/j.ijdrr.2025.105199
18. Rapid automatic detection of collapsed buildings with single period LiDAR data after an earthquake Ö. Canözü & H. Acar 10.1007/s12145-024-01659-y
19. MAGIC: Machine-Learning-Guided Image Compression for Vision Applications in Internet of Things P. Chakraborty et al. 10.1109/JIOT.2020.3040729
20. Unmanned Aerial Vehicle (UAV)-Assisted Path Planning for Unmanned Ground Vehicles (UGVs) via Disciplined Convex-Concave Programming G. Niu et al. 10.1109/TVT.2022.3168574
21. Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
22. Accuracy of Unmanned Aerial Systems Photogrammetry and Structure from Motion in Surveying and Mapping: A Review S. Deliry & U. Avdan 10.1007/s12524-021-01366-x
23. Efficient building damage assessment from post-disaster aerial video using lightweight deep learning models C. Liu et al. 10.1080/01431161.2023.2277163
24. Integrated HBIM-GIS Models for Multi-Scale Seismic Vulnerability Assessment of Historical Buildings G. Sammartano et al. 10.3390/rs15030833
25. The Diagnostics of the Condition and Management of Large-Panel Buildings Using Point Clouds and Building Information Modelling (BIM) M. Wardach et al. 10.3390/buildings13082089
26. Identification of Building Damage from UAV-Based Photogrammetric Point Clouds Using Supervoxel Segmentation and Latent Dirichlet Allocation Model C. Liu et al. 10.3390/s20226499
27. Aligning Discriminative and Representative Features: An Unsupervised Domain Adaptation Method for Building Damage Assessment Y. Li et al. 10.1109/TIP.2020.2988175
28. Large-Scale Synthetic Urban Dataset for Aerial Scene Understanding Q. Gao et al. 10.1109/ACCESS.2020.2976686
29. UAV-Based Structural Damage Mapping: A Review N. Kerle et al. 10.3390/ijgi9010014
30. An innovative structural health assessment tool for existing precast concrete buildings using deep learning methods and thermal infrared satellite imagery M. Kargin et al. 10.1007/s13349-022-00655-4
31. Autonomous Firefighting Inside Buildings by an Unmanned Aerial Vehicle V. Spurny et al. 10.1109/ACCESS.2021.3052967
32. Tsunami Damage Detection with Remote Sensing: A Review S. Koshimura et al. 10.3390/geosciences10050177
33. Towards Real-Time Building Damage Mapping with Low-Cost UAV Solutions F. Nex et al. 10.3390/rs11030287
34. Implementing Remote-Sensing Methodologies for Construction Research: An Unoccupied Airborne System Perspective S. Zhang et al. 10.1061/(ASCE)CO.1943-7862.0002347