BUILDING DAMAGE ASSESSMENT WITH DEEP LEARNING

5 citations as recorded by crossref.

1. 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.
2. Rapid automatic detection of collapsed buildings with single period LiDAR data after an earthquake Ö. Canözü & H. Acar
3. Earthquake building damage classification based on full suite of Sentinel-1 features X. Lv et al.
4. Deep Learning Models for Hazard-Damaged Building Detection Using Remote Sensing Datasets: A Comprehensive Review L. Wang et al.
5. DamageCAT: A deep learning transformer framework for typology-based post-disaster building damage categorization Y. Xiao & A. Mostafavi