AUTOMATED BUILDING SEGMENTATION AND DAMAGE ASSESSMENT FROM SATELLITE IMAGES FOR DISASTER RELIEF

5 citations as recorded by crossref.

1. A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran) N. Takhtkeshha et al. 10.3390/rs15010123
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4. One versus all: identifiability with a multi-hazard and multiclass building damage imagery dataset and a deep learning neural network O. Sodeinde et al. 10.1007/s11069-024-06500-9
5. 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. 10.1109/TGRS.2024.3354737