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

8 citations as recorded by crossref.

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3. Deep learning based post-disaster damage classification using satellite images V. C et al.
4. 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.
5. Advances in Rapid Damage Identification Methods for Post-Disaster Regional Buildings Based on Remote Sensing Images: A Survey J. Gu et al.
6. One versus all: identifiability with a multi-hazard and multiclass building damage imagery dataset and a deep learning neural network O. Sodeinde et al.
7. Geo-foundation models and UAV data for post flooding damage assessment in Mozambique M. Nhangumbe et al.
8. Post-Disaster Building Damage Assessment: Multi-Class Object Detection vs. Object Localization and Classification D. Hatić et al.