Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions

• URL: http://arxiv.org/abs/2506.17885v1
• Date: Sun, 22 Jun 2025 03:27:41 GMT
• Title: Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions
• Authors: Trong-An Bui, Thanh-Thoai Le,
• Abstract summary: Cloud contamination significantly impairs the usability of optical satellite imagery.<n>This research presents a Cloud-Attentive Reconstruction Framework that integrates SAR-optical feature fusion with deep learning-based image reconstruction.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Cloud contamination significantly impairs the usability of optical satellite imagery, affecting critical applications such as environmental monitoring, disaster response, and land-use analysis. This research presents a Cloud-Attentive Reconstruction Framework that integrates SAR-optical feature fusion with deep learning-based image reconstruction to generate cloud-free optical imagery. The proposed framework employs an attention-driven feature fusion mechanism to align complementary structural information from Synthetic Aperture Radar (SAR) with spectral characteristics from optical data. Furthermore, a cloud-aware model update strategy introduces adaptive loss weighting to prioritize cloud-occluded regions, enhancing reconstruction accuracy. Experimental results demonstrate that the proposed method outperforms existing approaches, achieving a PSNR of 31.01 dB, SSIM of 0.918, and MAE of 0.017. These outcomes highlight the framework's effectiveness in producing high-fidelity, spatially and spectrally consistent cloud-free optical images.

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