4 papers · 1 filter
Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning
Tewodros Syum Gebre, Jagrati Talreja, Leila Hashemi-Beni
Timely and accurate disaster damage assessment is crucial for effective emergency response, resource allocation, and recovery. Traditional methods, which often rely on manual inspe…
Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging
Yadav Raj Ghimire, Jagrati Talreja, Tewodros Syum Gebre +3
In this study, UAV multispectral imagery is used to segment the severity of bacterial leaf blight (BLB) in rice using convolutional neural networks (CNNs) and transformer-based mod…
Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
Jagrati Talreja, Tewodros Syum Gebre, Leila Hashemi Beni
Synthetic Aperture Radar (SAR) imagery is widely used for flood monitoring due to its all-weather and day-night imaging capability. However, flood mapping using single-polarization…
FLoRA: Fusion-Latent for Optical Reconstruction and Flood Area Segmentation via Cross-Modal Multi-Task Distillation Network
Jagrati Talreja, Tewodros Syum Gebre, Leila Hashemi-Beni
Accurate flood water mapping is critical for disaster management, yet current methods struggle to fully exploit the potential of spaceborne imagery. Optical data offers high interp…