cattale93 / pytorch_self_supervised_learningLinks
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.
☆17Updated 4 years ago
Alternatives and similar repositories for pytorch_self_supervised_learning
Users that are interested in pytorch_self_supervised_learning are comparing it to the libraries listed below
Sorting:
- ☆40Updated 4 months ago
- [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆69Updated 2 years ago
- Repository for the paper "Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes"☆42Updated last year
- Code and data for Kuro Siwo flood mapping dataset☆71Updated last month
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆19Updated last year
- Repository associated with the paper: Multi-Temporal Polarimetric SAR (MT-PolSAR) Change Detection For Crop Monitoring And Crop Type Clas…☆15Updated 3 years ago
- Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 …☆89Updated 2 years ago
- SEN12-FLOOD Dataset☆34Updated 5 years ago
- [RSE] Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data☆30Updated last year
- ☆35Updated 2 years ago
- S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images☆49Updated last year
- Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic c…☆64Updated 4 years ago
- Here are the codes for the "WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping" paper.☆22Updated 2 years ago
- Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019☆29Updated 3 years ago
- Open Satellite Image Cloud Detection Resources (Datasets and Tools)☆76Updated last year
- Neural Network based Urban Change Detection with Deep-Temporal Multispectral and SAR Remote Sensing Data.☆25Updated 2 years ago
- ☆33Updated 4 years ago
- ☆52Updated last year
- This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.☆18Updated 4 years ago
- ☆42Updated 2 years ago
- official repository to share data and code of our study "FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION" accepted and published …☆90Updated 3 years ago
- codes and data for learning from sparse annotations☆56Updated 4 years ago
- Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.☆55Updated 6 months ago
- Cloud masking for Landsat-8 & Sentinel-2☆34Updated 3 years ago
- Code for "Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network", IEEE JSTARS 2022☆28Updated 3 years ago
- This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR …☆28Updated last year
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆25Updated 3 years ago
- In this repository, we provide all the used scripts to create Sentinel2GlobalLULC Dataset and explain each step of their usage. All prese…☆15Updated 3 years ago
- Flood delineation from Sentinel-1 SAR imagery☆40Updated 6 months ago
- ☆29Updated 3 years ago