Chintan2108 / Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-NetworksLinks
Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.
☆35Updated 4 years ago
Alternatives and similar repositories for Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks
Users that are interested in Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks are comparing it to the libraries listed below
Sorting:
- Satellite cloud removal with Deep Image Prior.☆69Updated last year
- DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as li…☆170Updated last month
- ☆21Updated 8 months ago
- ☆52Updated 2 years ago
- A PyTorch-based tool to generate clouds for satellite images.☆142Updated last year
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- CloudGAN: Detecting and removing clouds from satellite RGB-images☆49Updated 3 years ago
- Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge☆25Updated 2 years ago
- [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆73Updated 2 years ago
- ☆43Updated last year
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆44Updated 2 years ago
- CD algorithms available in cloudSEN12☆21Updated 3 years ago
- List of datasets and codes for remote sensing LULC applications.☆52Updated last year
- A project to perform super-resolution on multispectral images from any satellite☆34Updated last year
- A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.☆13Updated 2 years ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆70Updated 3 years ago
- Python implementation of some simple algorithms for pansharpening remote sensing images☆36Updated 5 years ago
- A deep learning model for surface water mapping based on satellite optical image.☆117Updated 4 years ago
- Cloud masking for Landsat-8 & Sentinel-2☆36Updated 4 years ago
- Official Python codes for the paper "Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network With MTF-Based Degrad…☆16Updated 3 years ago
- Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board☆56Updated 2 years ago
- TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks" adapted for working with geospatial…☆31Updated 7 years ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆108Updated last year
- Repository for the paper "Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes"☆43Updated last year
- ☆42Updated 2 years ago
- Super-Resolution of Multispectral Multiresolution Images from a Single Sensor☆31Updated 3 years ago
- Super-Resolution GAN for Remote Sensing Images☆25Updated 2 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆52Updated last year
- Open Satellite Image Cloud Detection Resources (Datasets and Tools)☆84Updated last year
- Using GAN to do super resolution of satellite images☆16Updated 4 years ago