ATT-CR: Adaptive Triangular Transformer for Cloud Removal
Cloud removal aims to accurately reconstruct the ground objects obscured by clouds in remote sensing images. Existing transformer-based methods utilizing self-attention have shown impressive results by effectively modeling long-range dependencies in cloudy images. However, they suffer from the follo...
Saved in:
| Main Authors: | Yang Wu, Ye Deng, Pengna Li, Wenli Huang, Kangyi Wu, Xiaomeng Xin, Jinjun Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11119343/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MCGFE-CR: Cloud Removal With Multiscale Context-Guided Feature Enhancement Network
by: Qiang Bie, et al.
Published: (2024-01-01) -
SAR-DeCR: Latent Diffusion for SAR-Fused Thick Cloud Removal
by: Meilin Wang, et al.
Published: (2025-06-01) -
A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images
by: Fulian Zhao, et al.
Published: (2025-04-01) -
SRP-CR: Semantic and Representational Priors for Diffusion-Based Cloud Removal
by: Zhentao Zou, et al.
Published: (2025-01-01) -
CloudTran++: Improved Cloud Removal from Multi-Temporal Satellite Images Using Axial Transformer Networks
by: Dionysis Christopoulos, et al.
Published: (2024-12-01)