Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
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Updated
Mar 24, 2023 - Jupyter Notebook
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory
[IEEE JSTARS] Official PyTorch Implementation of "SAR Image Despeckling Using Continuous Attention Module"
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy - Notebook implementation usable on Google Colaboratory
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[TAI 2023] Blind Image Despeckling Using Multi-Scale Attention-Guided Neural Network
Speckle2Speckle based despeckling filter for TerraSAR-X Spotlight mode, trained on Colima
SAR2SAR: a self-supervised despeckling algorithm for SAR images
Development of a MATLAB-based Toolbox (Graphical User Interfaces) for Elastogram Image and RF Ultrasound Signal Processing
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