2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2025
An Efficient Machine Learning Framework for Forest Height Estimation from Multi-Polarimetric Multi-Baseline SAR data
Francesca Razzano, Wenyu Yang, Sergio Vitale +3
Accurate forest height estimation is crucial for climate change monitoring and carbon cycle assessment. Synthetic Aperture Radar (SAR), particularly in multi-channel configurations…
cs.CV2024★ 2 cited
CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data
Wenyu Yang, Sergio Vitale, Hossein Aghababaei +3
Tropical forests are a key component of the global carbon cycle. With plans for upcoming space-borne missions like BIOMASS to monitor forestry, several airborne missions, including…
eess.IV2023★ 2 cited
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
Runmin Cong, Wenyu Yang, Wei Zhang +4
Due to the light absorption and scattering induced by the water medium, underwater images usually suffer from some degradation problems, such as low contrast, color distortion, and…