A multimodal deep learning model trained on post-event COSMO-SkyMed SAR, building footprints, DSM, and GEM exposure data detects collapsed buildings in the 2023 Turkiye earthquake, with strong in-domain but weak unseen-city performance.
Large-scale building damage assessment using a novel hierarchical transformer ar- chitecture on satellite images,
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A Deep Learning framework for building damage assessment using VHR SAR and geospatial data: demonstration on the 2023 Turkiye Earthquake
A multimodal deep learning model trained on post-event COSMO-SkyMed SAR, building footprints, DSM, and GEM exposure data detects collapsed buildings in the 2023 Turkiye earthquake, with strong in-domain but weak unseen-city performance.