A CNN-BASED FLOOD MAPPING APPROACH USING SENTINEL-1 DATA

13 citations as recorded by crossref.

1. Evaluation of typhoon-induced inundation losses associated with LULC using multi-temporal SAR and optical images J. Wang et al. 10.1080/19475705.2022.2112624
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6. Segmentation and Visualization of Flooded Areas Through Sentinel-1 Images and U-Net F. Pech-May et al. 10.1109/JSTARS.2024.3387452
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8. Deep attentive fusion network for flood detection on uni-temporal Sentinel-1 data R. Yadav et al. 10.3389/frsen.2022.1060144
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10. Exploring Generative AI for YOLO-Based Object Detection to Enhance Flood Disaster Response in Malaysia J. Teoh et al. 10.1109/ACCESS.2024.3498893
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