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Lyuheng Yuan

2 accepted papers

2025

Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning

IJCAI 2025

Flood extent mapping is crucial for disaster response and damage assessment. While Earth imagery and terrain data (in the form of DEM) are now readily available, there are few flood annotation data for training machine learning models, which hinders the automated mapping of flooded areas. We propose

2024

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery

IJCAI 2024poster

Accurate and timely mapping of flood extent from high resolution satellite imagery plays a crucial role in disaster management such as damage assessment and relief activities. However, current state-of-the-art solutions are based on U-Net, which cannot segment the flood pixels accurately due to the…