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Learning a Dilated Residual Network for SAR Image Despeckling

9 September 2017

Jie Li

Papers citing "Learning a Dilated Residual Network for SAR Image Despeckling"

22 / 22 papers shown

Title
Towards Frequency-Adaptive Learning for SAR Despeckling Ziqing Ma Chang Yang Zhichang Guo Yao Li 72 0 0 08 Nov 2025
A Tunable Despeckling Neural Network Stabilized via Diffusion EquationSignal Processing (Signal Process.), 2024 Yi Ran Zhichang Guo Jia Li Yao Li Martin Burger Boying Wu DiffM 241 0 0 24 Nov 2024
Deep Learning Based Speckle Filtering for Polarimetric SAR Images. Application to Sentinel-1IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024 Alejandro Mestre-Quereda J. Lopez-Sanchez 114 3 0 28 Aug 2024
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation Xuran Hu Mingzhe Zhu L. Durlofsky Zhenpeng Feng Ljubisa Stankovic GAN 194 0 0 02 Aug 2024
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR Zixuan Ma Haojie Wang Jingze Xing Liyan Zheng Chen Zhang Huanqi Cao Kezhao Huang Shizhi Tang Penghan Wang Jidong Zhai GNN 127 1 0 11 Jul 2023
As if by magic: self-supervised training of deep despeckling networks with MERLINIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021 Emanuele Dalsasso L. Denis F. Tupin 173 82 0 25 Oct 2021
NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function Praveen Ravirathinam Darshan R Agrawal J. J. Ranjani 66 4 0 26 Aug 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 108 5 0 01 Feb 2021
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And PerspectivesIEEE Geoscience and Remote Sensing Magazine (IEEE GRSM), 2020 Giulia Fracastoro E. Magli Giovanni Poggi Giuseppe Scarpa D. Valsesia L. Verdoliva 190 78 0 10 Dec 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 158 50 0 29 Sep 2020
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks Andrea Bordone Molini D. Valsesia Giulia Fracastoro E. Magli 181 117 0 04 Jul 2020
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy Emanuele Dalsasso Xiangli Yang L. Denis F. Tupin Wen Yang 260 65 0 28 Jun 2020
SAR2SAR: a semi-supervised despeckling algorithm for SAR images Emanuele Dalsasso L. Denis F. Tupin 172 27 0 26 Jun 2020
Deep Learning Meets SAR Xiaoxiang Zhu S. Montazeri Mohsin Ali Yuansheng Hua Yuanyuan Wang Lichao Mou Yilei Shi Feng Xu R. Bamler 207 263 0 17 Jun 2020
Multi-Objective CNN Based Algorithm for SAR Despeckling S. Vitale G. Ferraioli V. Pascazio 361 96 0 16 Jun 2020
CNN-based InSAR Coherence ClassificationItalian National Conference on Sensors (INS), 2018 Subhayan Mukherjee A. Zimmer Xinyao Sun P. Ghuman I. Cheng 67 4 0 20 Jan 2020
CNN-based InSAR Denoising and Coherence MetricItalian National Conference on Sensors (INS), 2018 Subhayan Mukherjee A. Zimmer N. K. Kottayil Xinyao Sun P. Ghuman I. Cheng 52 15 0 20 Jan 2020
A Practical Solution for SAR Despeckling With Adversarial Learning Generated Speckled-to-Speckled Images Ye Yuan Jian Guan Pengming Feng Yanxia Wu 82 9 0 13 Dec 2019
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network Ye Yuan Jianguo Sun Jian Guan 140 14 0 05 Aug 2019
DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling Sunghwan Joo Sungmin Cha Taesup Moon 136 8 0 07 Feb 2019
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network Qiang Zhang Qiangqiang Yuan Jie Li Xinxin Liu Huanfeng Shen Liangpei Zhang 173 141 0 01 Oct 2018
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model Huanfeng Shen Menghui Jiang Jie Li Qiangqiang Yuan Yanchong Wei Liangpei Zhang 108 67 0 04 Sep 2018