cattale93 / pytorch_self_supervised_learning
This repository implements a framework to perform semantic segmentation of polarimetric SAR images, coming form Sentinel satellites, using a self supervised technique. The self-supervision is achieved transcoding SAR to optical images.
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch_self_supervised_learning
- ☆17Updated last year
- codes and data for learning from sparse annotations☆50Updated 3 years ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆57Updated last year
- Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.☆43Updated 3 months ago
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆15Updated 9 months ago
- Here are the codes for the "WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping" paper.☆19Updated last year
- Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data☆24Updated 11 months ago
- Code and data for Kuro Siwo flood mapping dataset☆39Updated 3 weeks ago
- The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"☆30Updated last year
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆19Updated 2 years ago
- Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published …☆27Updated 4 years ago
- SEN12-FLOOD Dataset☆26Updated 4 years ago
- This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.☆18Updated 3 years ago
- ThomasWangWeiHong / Water-Body-Extraction-from-Very-High-Spatial-Resolution-Remote-Sensing-Data-Based-on-FCNsPython implementation of Convolutional Neural Network (CNN) proposed in academia☆23Updated 5 years ago
- ☆16Updated 3 months ago
- Neural Network based Urban Change Detection with Deep-Temporal Multispectral and SAR Remote Sensing Data.☆21Updated last year
- ☆30Updated last year
- This repository contains codes and sample data from the journal paper "Rapid Mapping of landslide on SAR data by Attention U-net" by Nava …☆21Updated 2 years ago
- Official repository of the ben-ge Earth Observation dataset☆17Updated 10 months ago
- ☆24Updated 2 years ago
- ☆28Updated 11 months ago
- Codes for TGRS paper: DisOptNet: Distilling Semantic Knowledge from Optical Images for Weather-independent Building Segmentation☆11Updated 3 weeks ago
- Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, …☆14Updated 2 years ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆38Updated 3 years ago
- S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images☆20Updated 5 months ago
- Repository for the paper "Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes"☆32Updated 5 months ago
- Image/Scene Classification for RemoteSensing Images;Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf☆14Updated 2 years ago
- Remote sensing pretrained models easy loading using huggingface -- PyTorch☆22Updated 3 weeks ago
- Translating Landsat 8 to Sentinel-2 using a GAN☆22Updated 4 years ago
- The pytorch implementation for "DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images".☆10Updated 2 years ago