Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives

10 December 2020

Papers citing "Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives"

5 / 5 papers shown

Title
RSNet: A Light Framework for The Detection of Multi-scale Remote Sensing Targets Hongyu Chen Chong Chen Fei Wang Yuhu Shi Weiming Zeng 52 1 0 20 Feb 2025
Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks A. Colin P. Tandeo C. Peureux R. Husson Ronan Fablet 14 0 0 16 Mar 2023
As if by magic: self-supervised training of deep despeckling networks with MERLIN Emanuele Dalsasso L. Denis F. Tupin 18 64 0 25 Oct 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 281 179 0 17 Feb 2021
Non-Local Recurrent Network for Image Restoration Ding Liu B. Wen Yuchen Fan Chen Change Loy Thomas S. Huang SupR 140 628 0 07 Jun 2018