Chintan2108 / Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks
Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.
☆32Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Cloud-Removal-in-Satellite-Images-using-Conditional-Generative-Adversarial-Networks
- ☆17Updated 3 years ago
- Satellite cloud removal with Deep Image Prior.☆64Updated 3 months ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆57Updated last year
- CloudGAN: Detecting and removing clouds from satellite RGB-images☆42Updated last year
- Cloud masking for Landsat-8 & Sentinel-2☆34Updated 2 years ago
- ☆38Updated 11 months ago
- 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…☆137Updated 5 months ago
- Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark☆68Updated 6 months ago
- Official Python codes for the paper "Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network With MTF-Based Degrad…☆13Updated 2 years ago
- A project to perform super-resolution on multispectral images from any satellite☆30Updated 3 months ago
- A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.☆12Updated last year
- ☆74Updated 9 months ago
- PyTorch Implementation of STGAN for Cloud Removal in Satellite Images.☆24Updated 4 years ago
- ☆40Updated last month
- Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published …☆27Updated 4 years ago
- Codes for TGRS paper: DisOptNet: Distilling Semantic Knowledge from Optical Images for Weather-independent Building Segmentation☆11Updated 3 weeks ago
- Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively…☆63Updated 4 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
- CD algorithms available in cloudSEN12☆19Updated 2 years ago
- Translating Landsat 8 to Sentinel-2 using a GAN☆22Updated 4 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated last year
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆61Updated last year
- Code for "Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network", IEEE JSTARS 2022☆27Updated 2 years ago
- List of datasets and codes for remote sensing LULC applications.☆31Updated 3 months ago
- Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge☆25Updated last year
- A small codebase featuring a few elementary methods for SAR and Optical imagery data fusion☆25Updated 4 years ago
- Open Satellite Image Cloud Detection Resources (Datasets and Tools)☆56Updated 5 months ago
- Pytorch code for paper "CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence"☆19Updated 3 years ago
- Working version of Basic Super-Resolution Toolbox for class project.☆11Updated last year
- Akash-Ramjyothi / Cloud-and-Fog-removal-System-using-Generative-Adversarial-Networks-Satellite-Image-ProcessingDeveloped an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured fr…☆5Updated 3 months ago