2 citations · 2 across the 3 of their papers we have counts for
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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…
Edge Preserving CNN SAR Despeckling Algorithm
Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
SAR despeckling is a key tool for Earth Observation. Interpretation of SAR images are impaired by speckle, a multiplicative noise related to interference of backscattering from the…
A Novel Cost Function for Despeckling using Convolutional Neural Networks
Giampaolo Ferraioli, Vito Pascazio, Sergio Vitale
Removing speckle noise from SAR images is still an open issue. It is well know that the interpretation of SAR images is very challenging and despeckling algorithms are necessary to…