XwK-P / ID-CNN
SAR Image Despeckling Using a Convolutional Neural Network
☆22Updated 7 years ago
Alternatives and similar repositories for ID-CNN
Users that are interested in ID-CNN are comparing it to the libraries listed below
Sorting:
- Nonlocal CNN SAR Image Despeckling☆18Updated 4 years ago
- Project to compare different despeckling techniques☆11Updated 7 years ago
- Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks☆56Updated 2 years ago
- Guided patch-wise nonlocal SAR despeckling☆13Updated 3 years ago
- Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN☆49Updated 5 years ago
- SAR image despeckling through convolutional neural networks☆37Updated 4 years ago
- Denoising framework for SAR images (Synthetic Aperture Radar) based on the FFDNet. Final project of MVA course "Remote sensing data: from…☆61Updated 2 years ago
- Q. Zhang, Q. Yuan, J. Li, Z. Yang, and X. Ma, "Learning a Dilated Residual Network for SAR Image Despeckling," Remote Sensing, 2018.☆15Updated 4 years ago
- [IEEE JSTARS] Official PyTorch Implementation of "SAR Image Despeckling Using Continuous Attention Module"☆32Updated last year
- SIRV-Based High-Resolution PolSAR Image Speckle Suppression via Dual-Domain Filtering☆10Updated 3 years ago
- SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory☆38Updated 4 years ago
- The source code of <A Fractional Total Variational CNN Approach for SAR Image Despeckling>☆14Updated 5 years ago
- codes for TNNLS paper "Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration"☆33Updated 5 years ago
- These are a set of scripts to train a deep learning based SAR image despeckling method.☆24Updated 3 years ago
- Generation of Synthetic Aperture Radar (SAR) images using Generative Adversarial Networks (GANs)☆13Updated 3 years ago
- Graduate product in SJTU. Implemented the program to detect target ship in SAR images☆27Updated 7 years ago
- Matlab code for "Sea ice change detection in SAR images based on convolutional-wavelet neural networks," IEEE GRSL 2019☆56Updated 3 years ago
- Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added …☆53Updated 2 years ago
- ☆16Updated 2 years ago
- The methodology helps in detecting ships at sea using SAR data and estimating size of the detected ship invariant …☆13Updated 5 years ago
- SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy - Notebook implementation usab…☆18Updated 4 years ago
- The implementation of CV-CFUNet using tensorflow. (CV-CFUNet: Complex-Valued Channel Fusion UNet for Refocusing of Ship Targets in SAR Im…☆13Updated last year
- Deep learning on SAR images☆15Updated 10 years ago
- Matlab code for paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE GRSL 2016☆34Updated 5 years ago
- AConvNet on Caffe for [Chen et al. IEEE TGRS vol.54 no.8]☆41Updated 4 years ago
- Denoising InSAR Images: dealing with atmospheric effects with deep learning using 1E+2D U-Net☆8Updated last year
- Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network☆22Updated 6 years ago
- The matlab code for "Synthetic aperture radar image change detection based on frequency domain analysis and random multigraphs" JARS 201…☆25Updated 5 years ago
- Code for paper "Zero-Shot Learning of SAR Target Feature Space With Deep Generative Neural Networks"☆13Updated 6 years ago
- code for SAR image segmentation☆12Updated 5 years ago