Damaged Building Detection
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection
Existing Building Damage Detection (BDD) methods always require labour-intensive pixel-level annotations of buildings and their conditions, hence largely limiting their applications.
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection
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.