光学精密工程2025，Vol.33Issue(18)：2996-3007,12.DOI:10.37188/OPE.20253318.2996
遥感图像双模态融合去云方法
A bimodal fusion method for remote sensing images to cloud removal
摘要
Abstract
In order to solve the problem that the difference between cloud and background could not be ac-curately handled in the process of cloud removal from Synthetic Aperture Radar(SAR)images combined with optical image data,this paper proposed a cloud removal network based on the combination of SAR images and optical remote sensing images with a double-branched structure.In the feature extraction stage,a multi-scale attention mechanism was introduced to effectively capture the global and local informa-tion in the image,and provide a more representative representation of feature information for subsequent fusion and cloud removal operations.The parallel structure of the local fusion branch and the differential branch was redesigned,and the contribution of the two was dynamically balanced through the gating mech-anism,so as to fully explore the complementarity of the two,and refine the cloud edge in the optical cloudy image,so as to restore a more fine cloudless optical image.The location-aware enhanced Swin Transformer was used to densely connect local features,so that the network model had better robustness in the face of complex environments.The Peak Signal-to-Noise Ratio(PSNR)and Structural Similarity Index(SSIM)of the proposed model are 0.833 1 dB and 0.024 6 higher than those of the current optimal algorithm,respectively.It is proved that the proposed algorithm has better performance than other meth-ods in the image removal task.关键词
遥感图像/合成孔径雷达图像/光学图像/多模态/数据融合/云去除Key words
remotely sensed imagery/synthetic aperture radar image/optical images/multimodal/data fusion/cloud removal分类
计算机与自动化引用本文复制引用
柳长源,曹青,刘金凤..遥感图像双模态融合去云方法[J].光学精密工程,2025,33(18):2996-3007,12.基金项目
黑龙江省自然科学基金(No.LH2023E086) （No.LH2023E086）
黑龙江省交通运输厅科技项目(No.HJK2024B002) （No.HJK2024B002）
