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Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
15 January 2020
Andrea Bordone Molini
D. Valsesia
Giulia Fracastoro
E. Magli
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Papers citing
"Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks"
5 / 5 papers shown
Title
As if by magic: self-supervised training of deep despeckling networks with MERLIN
Emanuele Dalsasso
L. Denis
F. Tupin
68
68
0
25 Oct 2021
Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
Emanuele Dalsasso
Inès Meraoumia
L. Denis
F. Tupin
53
4
0
01 Feb 2021
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives
Giulia Fracastoro
E. Magli
Giovanni Poggi
Giuseppe Scarpa
D. Valsesia
L. Verdoliva
59
66
0
10 Dec 2020
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Andrea Bordone Molini
D. Valsesia
Giulia Fracastoro
E. Magli
61
94
0
04 Jul 2020
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
Emanuele Dalsasso
L. Denis
F. Tupin
54
28
0
26 Jun 2020
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