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