most citedCATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

1 paper

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…