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Cloud Removal

The majority of all optical observations collected via spaceborne satellites are affected by haze or clouds. Consequently, persistent cloud coverage affects the remote sensing practitioner's capabilities of a continuous and seamless monitoring of our planet. Cloud removal is the task of reconstructing cloud-covered information while preserving originally cloud-free details.

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Papers

Showing 125 of 56 papers

TitleStatusHype
Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing ImageryCode2
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
Bridging Remote Sensors with Multisensor Geospatial Foundation ModelsCode2
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time SeriesCode1
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical ModelCode1
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time SeriesCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Image Restoration via Multi-domain LearningCode1
Attentive Contextual Attention for Cloud RemovalCode1
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 ImageryCode1
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud RemovalCode1
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial NetworkCode1
SSSNET: Semi-Supervised Signed Network ClusteringCode1
GLF-CR: SAR-Enhanced Cloud Removal with Global-Local FusionCode1
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite ImageryCode1
Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translationCode1
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing ImagesCode1
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite ImagesCode1
Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and BenchmarkCode1
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention NetworkCode1
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite ImageryCode1
Seeing Through Clouds in Satellite ImagesCode1
Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network0
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