QianSong-Cherry / SAR-ZSL_for_featureSpaceLinks
Code for paper "Zero-Shot Learning of SAR Target Feature Space With Deep Generative Neural Networks"
☆13Updated 6 years ago
Alternatives and similar repositories for SAR-ZSL_for_featureSpace
Users that are interested in SAR-ZSL_for_featureSpace are comparing it to the libraries listed below
Sorting:
- Deep learning on SAR images☆15Updated 10 years ago
- ☆11Updated 4 years ago
- High resolution SAR image vehicle detection dataset collected from Sandia MiniSAR/FARAD SAR images and MSTAR images☆54Updated 5 years ago
- PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain. https://arxiv.org/abs/190…☆40Updated 5 years ago
- SIRV-Based High-Resolution PolSAR Image Speckle Suppression via Dual-Domain Filtering☆10Updated 3 years ago
- Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks☆56Updated 2 years ago
- Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" IEEE GRSL 2021☆44Updated 4 years ago
- Matlab code for "Sea ice change detection in SAR images based on convolutional-wavelet neural networks," IEEE GRSL 2019☆58Updated 3 years ago
- SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory☆38Updated 4 years ago
- Matlab code for paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE GRSL 2016☆34Updated 5 years ago
- Project to compare different despeckling techniques☆11Updated 7 years ago
- mafeimf / Weakly-Supervised-Segmentation-of-SAR-Imagery-Using-Superpixel-and-Hierarchically-Adversarial-CRFthis code implements the method proposed in paper "Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adve…☆17Updated 5 years ago
- Tensorfolw code for" SAR Image Despeckling by Noisy Reference Based Deep Learning Method". which has been accepted by IEEE Transactions o…☆13Updated 5 years ago
- Generation of Synthetic Aperture Radar (SAR) images using Generative Adversarial Networks (GANs)☆14Updated 3 years ago
- Deep learning for PolSAR☆10Updated 5 years ago
- ☆14Updated 5 years ago
- SAR Image Despeckling Using a Convolutional Neural Network☆22Updated 7 years ago
- Two kinds of full convolution neural network models based on multi-scale feature fusion for cloud area detection of remote sensing image.☆18Updated 5 years ago
- The code for paper "Transferred deep learning for sea ice change detection from synthetic aperture radar images"☆9Updated 5 years ago
- The Tensorflow implement of the DHCNet☆11Updated 6 years ago
- Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN☆51Updated 5 years ago
- Nonlocal CNN SAR Image Despeckling☆19Updated 4 years ago
- based on "KAZE-SAR: SAR Image Registration using KAZE Detector and Modified SURF Descriptor for Tackling Speckle Noise" paper☆25Updated 4 years ago
- Code is for our paper "Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network," IEEE…☆16Updated 4 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 5 years ago
- AConvNet on Caffe for [Chen et al. IEEE TGRS vol.54 no.8]☆41Updated 4 years ago
- Graduate product in SJTU. Implemented the program to detect target ship in SAR images☆27Updated 7 years ago
- ☆18Updated 3 years ago
- Object-level semantic segmentation on the high-resolution FUSAR-Map dataset☆19Updated last month
- 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