Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot
Convolutional Neural Networks

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

4 July 2020

Andrea Bordone Molini

Giulia Fracastoro

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Papers citing "Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks"

12 / 12 papers shown

Title
Bayesian Despeckling of Structured Sources Ali Zafari Shirin Jalali 148 0 0 21 Jan 2025
Hiding Local Manipulations on SAR Images: a Counter-Forensic Attack S. Mandelli E. D. Cannas Paolo Bestagini Stefano Tebaldini Stefano Tubaro 62 2 0 09 Jul 2024
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 104 59 0 15 Nov 2022
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images Inès Meraoumia Emanuele Dalsasso L. Denis F. Tupin 43 1 0 22 Jul 2022
Multi-temporal speckle reduction with self-supervised deep neural networks Inès Meraoumia Emanuele Dalsasso L. Denis Rémy Abergel F. Tupin 62 14 0 22 Jul 2022
Self-supervised Learning in Remote Sensing: A Review Yi Wang C. Albrecht Nassim Ait Ali Braham Lichao Mou Xiao Xiang Zhu 159 228 0 27 Jun 2022
As if by magic: self-supervised training of deep despeckling networks with MERLIN Emanuele Dalsasso L. Denis F. Tupin 66 68 0 25 Oct 2021
The potential of self-supervised networks for random noise suppression in seismic data C. Birnie M. Ravasi T. Alkhalifah Sixiu Liu 70 58 0 15 Sep 2021
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion Huanfeng Shen Menghui Jiang Jie Li Chen Zhou Qiangqiang Yuan Liangpei Zhang 79 35 0 13 Aug 2021
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks A. Sebastianelli M. P. D. Rosso Silvia Liberata Ullo Paolo Gamba 44 15 0 19 Apr 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 49 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