SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 22 papers

TitleStatusHype
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
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.