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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 5156 of 56 papers

TitleStatusHype
Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal0
Reading Industrial Inspection Sheets by Inferring Visual Relations0
Removing cloud shadows from ground-based solar imagery0
SAR-to-RGB Translation with Latent Diffusion for Earth Observation0
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization0
When Cloud Removal Meets Diffusion Model in Remote Sensing0
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