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Sar Image Despeckling
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Despeckling is the task of suppressing speckle from Synthetic Aperture Radar (SAR) acquisitions.
Image credits: GRD Sentinel-1 SAR image despeckled with SAR2SAR-GRD
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model
Purely Speckled Intensity Images Need for SAR Despeckling with SDS-SAR
Transformer-based SAR Image Despeckling
SAR Image Despeckling Using Continuous Attention Module
As if by magic: self-supervised training of deep despeckling networks with MERLIN
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives
SAR Image Despeckling Based on Convolutional Denoising Autoencoder
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
Blind SAR Image Despeckling Using Self-Supervised Dense Dilated Convolutional Neural Network
Guided patch-wise nonlocal SAR despeckling
SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm
Learning a Dilated Residual Network for SAR Image Despeckling
SAR Image Despeckling Using a Convolutional Neural Network
SAR image despeckling through convolutional neural networks
Sar image despeckling based on nonlocal similarity sparse decomposition
Systholic Boolean Orthonormalizer Network in Wavelet Domain for SAR Image Despeckling
SAR Image Despeckling Algorithms using Stochastic Distances and Nonlocal Means
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