no code implementations • 29 Mar 2024 • Wenyu Yang, Sergio Vitale, Hossein Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi
Tropical forests are a key component of the global carbon cycle.
no code implementations • 16 Jun 2020 • Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
In this paper, a convolutional neural network (CNN) with a multi-objective cost function taking care of spatial and statistical properties of the SAR image is proposed.
no code implementations • 17 Apr 2020 • Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
Based on our last proposed convolutional neural network for SAR despeckling, here we exploit the effect of the complexity of the network.
no code implementations • 14 Jan 2020 • Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
SAR despeckling is a key tool for Earth Observation.
no code implementations • 11 Jun 2019 • Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale
Removing speckle noise from SAR images is still an open issue.
no code implementations • 10 Jun 2019 • Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
The aim is two fold: overcome the trade-off between speckle suppression and details suppression; find a suitable cost function for despeckling in unsupervised learning.