Learning a Dilated Residual Network for SAR Image Despeckling

Learning a Dilated Residual Network for SAR Image Despeckling

9 September 2017

Qiangqiang Yuan

Jie Li

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

8 / 8 papers shown

Title
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 29 1 0 11 Jul 2023
As if by magic: self-supervised training of deep despeckling networks with MERLIN Emanuele Dalsasso L. Denis F. Tupin 16 64 0 25 Oct 2021
NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function Praveen Ravirathinam Darshan R Agrawal J. J. Ranjani 13 3 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 14 4 0 01 Feb 2021
SAR2SAR: a semi-supervised despeckling algorithm for SAR images Emanuele Dalsasso L. Denis F. Tupin 8 28 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 28 219 0 17 Jun 2020
CNN-based InSAR Denoising and Coherence Metric Subhayan Mukherjee A. Zimmer N. K. Kottayil Xinyao Sun P. Ghuman I. Cheng 11 13 0 20 Jan 2020
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network Qiang Zhang Qiangqiang Yuan Jie Li Xinxin Liu Huanfeng Shen Liangpei Zhang 20 132 0 01 Oct 2018