384 citations · 726 across the 10 of their papers we have counts for
11 papers
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…
Assessment of Spectral based Solutions for the Detection of Floating Marine Debris
Muhammad Alì, Francesca Razzano, Sergio Vitale +4
Typically, the detection of marine debris relies on in-situ campaigns that are characterized by huge human effort and limited spatial coverage. Following the need of a rapid soluti…
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…
Pansharpening by convolutional neural networks in the full resolution framework
Matteo Ciotola, Sergio Vitale, Antonio Mazza +2
In recent years, there has been a growing interest in deep learning-based pansharpening. Thus far, research has mainly focused on architectures. Nonetheless, model training is an e…
Multi-Objective CNN Based Algorithm for SAR Despeckling
Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
Deep learning (DL) in remote sensing has nowadays become an effective operative tool: it is largely used in applications such as change detection, image restoration, segmentation,…
Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm
Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
SAR images are affected by multiplicative noise that impairs their interpretations. In the last decades several methods for SAR denoising have been proposed and in the last years g…