yws2017 / awesome-cloud-detection-and-removal

Collection of popular and reproducible works of cloud detection and removal.

Awesome-Cloud-Detection-and-Removal

Collection of popular and reproducible works of cloud detection and removal.

Cloud Detection

Benchmark dataset

• 38-Cloud
• 95-Cloud
• HRC-WHU
• SPARCS
• L8 Biome

Related Papers

Pub	Year	Title	Code
ICCV	2019	Generative Adversarial Training for Weakly Supervised Cloud Matting	Code
IGARSS	2019	Cloud-Net: An End-To-End Cloud Detection Algorithm for Landsat 8 Imagery	Code
RSE	2019	A cloud detection algorithm for satellite imagery based on deep learning	Code
RS	2019	CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning	-
IEEE TGRS	2019	CDnet: CNN-Based Cloud Detection for Remote Sensing Imagery	Code
RSE	2020	Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	Project
IEEE TGRS	2021	DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images	-
IEEE TGRS	2021	Cloud Detection Method Using CNN Based on Cascaded Feature Attention and Channel Attention	-
IEEE JSTARS	2021	Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery Via Filtered Jaccard Loss Function and Parametric Augmentation	-
RSE	2021	Deep network based on up and down blocks using wavelet transform and successive multi-scale spatial attention for cloud detection	-
IEEE TGRS	2022	Dual-Branch Network for Cloud and Cloud Shadow Segmentation	-

Cloud Removal

Benchmark dataset

• RICE
• GF1_WHU
• Landsat8, Download Toturial
• Sentinel-2, Download Toturial
• WHUS2-CR
• SEN12MS-CR
• WHU Cloud Dataset

Related Papers

Pub	Year	Title	Code
CVPR	2016	Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion	Unofficial
IEEE TGRS	2016	Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning	Unofficial
CVPRW	2017	Filmy Cloud Removal on Satellite Imagery With Multispectral Conditional Generative Adversarial Nets	Code
IEEE GRSL	2018	Haze and thin cloud removal via sphere model improved dark channel prior	-
IGARSS	2018	Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks	-
ISPRS	2018	Cloud removal in remote sensing images using nonnegative matrix factorization and error correction	-
ISPRS	2019	Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition	Code
Arxiv	2020	Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network	Code
RS	2020	Cloud removal with fusion of high resolution optical and SAR images using generative adversarial networks	-
WACV	2020	Cloud Removal in Satellite Images Using Spatiotemporal Generative Models	Code
IEEE GRSL	2020	Cloud-Aware Generative Network: Removing Cloud From Optical Remote Sensing Images	-
IEEE TGRS	2020	Single Image Cloud Removal Using U-Net and Generative Adversarial Networks	Unofficial
IEEE TGRS	2020	Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks	-
ISPRS	2020	Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion	Code
ISPRS	2020	Thick cloud and cloud shadow removal in multitemporal images using progressively spatio-temporal patch group deep learning	Code
IGARSS	2021	A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images	-
IEEE TGRS	2022	Thick Cloud Removal in Optical Remote Sensing Images Using a Texture Complexity Guided Self-Paced Learning Method	-
IEEE TGRS	2022	A Unified Framework of Cloud Detection and Removal Based on Low-Rank and Group Sparse Regularizations for Multitemporal Multispectral Images	-
IEEE GRSL	2022	Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks	-
IEEE GRSL	2022	Cloud Removal Using Multimodal GAN With Adversarial Consistency Loss	-
RS	2022	Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery	Code
RS	2022	Cloud Removal for Optical Remote Sensing Imagery Using Distortion Coding Network Combined with Compound Loss Functions	-
RSE	2022	Attention Mechanism-Based Generative Adversarial Networks for Cloud Removal in Landsat Images	Code