DAMAGE DETECTION ON BUILDING FAÇADES USING MULTI-TEMPORAL AERIAL OBLIQUE IMAGERY

8 citations as recorded by crossref.

1. Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data S. Ghaffarian et al.
2. Detailed Three-Dimensional Building Façade Reconstruction: A Review on Applications, Data and Technologies A. Klimkowska et al.
3. A Framework for Coverage Path Planning Optimization Based on Point Cloud for Structural Inspection I. Biundini et al.
4. Interactive Correction of a Distorted Street-View Panorama for Efficient 3-D Façade Modeling Q. Zhu et al.
5. Automated detection of damaged buildings in post-disaster scenarios: a case study of Kahramanmaraş (Türkiye) earthquakes on February 6, 2023 C. Serifoglu Yilmaz et al.
6. A Novel Weighted Ensemble Transferred U-Net Based Model (WETUM) for Postearthquake Building Damage Assessment From UAV Data: A Comparison of Deep Learning- and Machine Learning-Based Approaches E. Khankeshizadeh et al.
7. Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images B. Kalantar et al.
8. Detection of seismic façade damages with multi-temporal oblique aerial imagery D. Duarte et al.