CLOUDTRAN: CLOUD REMOVAL FROM MULTITEMPORAL SATELLITE IMAGES USING AXIAL TRANSFORMER NETWORKS

13 citations as recorded by crossref.

1. PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal A. Sebastianelli et al.
2. MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal H. Zhou et al.
3. ECRformer: An efficient cloud removal Transformer with semantic-decoupled learning for multimodal satellite imagery Z. Zhang et al.
4. Causally regularized full-resolution channel attention and frequency refinement for cloud removal in satellite imagery J. Wang et al.
5. Cloudformer: A Cloud-Removal Network Combining Self-Attention Mechanism and Convolution P. Wu et al.
6. Supervised Alignment Perception and Modality Difference Selection Enhanced SAR-Optical Fusion for Cloud Removal K. Xu et al.
7. DecRecNet: A Decoupling-Reconstruction Network for Restoring the Missing Information of Optical Remote Sensing Images W. Liu et al.
8. CloudTran++: Improved Cloud Removal from Multi-Temporal Satellite Images Using Axial Transformer Networks D. Christopoulos et al.
9. Multiscale Restoration of Missing Data in Optical Time-Series Images With Masked Spatial–Temporal Attention Network Z. Zhang et al.
10. Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer X. Ma et al.
11. Cascaded Memory Network for Optical Remote Sensing Imagery Cloud Removal J. Liu et al.
12. TCME: Thin Cloud Removal Network for Optical Remote Sensing Images Based on Multidimensional Features Enhancement J. Dai et al.
13. A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images F. Zhao et al.