TSMCF: Transformer-Based SAR and Multispectral Cross-Attention Fusion for Cloud Removal

Optical remote sensing is heavily affected by clouds, and thus cloud removal is a critical task for obtaining accurate and reliable results. Traditional methods for remote sensing data reconstruction include spectral-based, spatial-based, time-based, and hybrid-based methods. However, these methods...

Full description

Bibliographic Details
Main Authors: Hongming Zhu, Zeju Wang, Letong Han, Manxin Xu, Weiqi Li, Qin Liu, Sicong Liu, Bowen Du
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/10870427/