April 8, 2024, 4:45 a.m. | Yao Sun, Yi Wang, Michael Eineder

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.06587v2 Announce Type: replace-cross
Abstract: Quick and automated earthquake-damaged building detection from post-event satellite imagery is crucial, yet it is challenging due to the scarcity of training data required to develop robust algorithms. This letter presents the first dataset dedicated to detecting earthquake-damaged buildings from post-event very high resolution (VHR) Synthetic Aperture Radar (SAR) and optical imagery. Utilizing open satellite imagery and annotations acquired after the 2023 Turkey-Syria earthquakes, we deliver a dataset of coregistered building footprints and satellite image …

arxiv building cs.cv dataset detection earthquake eess.iv optical type

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