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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

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Showing 26–50 of 56 papers

TitleStatusHype
On-board Change Detection for Resource-efficient Earth Observation with LEO Satellites—0
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time SeriesCode1
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite ImageryCode1
Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and BenchmarkCode1
MM811 Project Report: Cloud Detection and Removal in Satellite Images—0
Cloud removal Using Atmosphere Model—0
GLF-CR: SAR-Enhanced Cloud Removal with Global-Local FusionCode1
Attention mechanism-based generative adversarial networks for cloud removal in Landsat images—0
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline—0
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud RemovalCode1
Cloud Removal from Satellite Images—0
SSSNET: Semi-Supervised Signed Network ClusteringCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical ModelCode1
Seeing Through Clouds in Satellite ImagesCode1
Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translationCode1
Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal—0
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial NetworkCode1
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 ImageryCode1
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization—0
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusionCode1
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks—0
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
A Remote Sensing Image Dataset for Cloud RemovalCode0
Reading Industrial Inspection Sheets by Inferring Visual Relations—0
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