ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.05264
  4. Cited By
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional
  Neural Networks

Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

15 January 2020
Andrea Bordone Molini
D. Valsesia
Giulia Fracastoro
E. Magli
ArXiv (abs)PDFHTML

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
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
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
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
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
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
Emanuele Dalsasso
L. Denis
F. Tupin
54
28
0
26 Jun 2020
1