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Sar Image Despeckling

Despeckling is the task of suppressing speckle from Synthetic Aperture Radar (SAR) acquisitions.

Image credits: GRD Sentinel-1 SAR image despeckled with SAR2SAR-GRD

Papers

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Showing 1–22 of 22 papers

TitleStatusHype
SAR Image Despeckling Using Continuous Attention ModuleCode1
SAR2SAR: a semi-supervised despeckling algorithm for SAR imagesCode1
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural NetworksCode1
As if by magic: self-supervised training of deep despeckling networks with MERLINCode1
Transformer-based SAR Image DespecklingCode1
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentationCode0
SAR Image Despeckling Using a Convolutional Neural NetworkCode0
Guided patch-wise nonlocal SAR despecklingCode0
Learning a Dilated Residual Network for SAR Image DespecklingCode0
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategyCode0
Deep Learning Based Speckle Filtering for Polarimetric SAR Images. Application to Sentinel-1Code0
SAR Image Despeckling Algorithms using Stochastic Distances and Nonlocal Means—0
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network—0
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives—0
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks—0
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model—0
Purely Speckled Intensity Images Need for SAR Despeckling with SDS-SAR—0
SAR Image Despeckling Based on Convolutional Denoising Autoencoder—0
Sar image despeckling based on nonlocal similarity sparse decomposition—0
SAR image despeckling through convolutional neural networks—0
SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm—0
Systholic Boolean Orthonormalizer Network in Wavelet Domain for SAR Image Despeckling—0
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