Pansharpening under thin cloudy conditions is a practically significant yet rarely addressed task, challenged by simultaneous spatial resolution degradation and cloud-induced spectral distortions. Existing methods often address cloud removal and pansharpening sequentially, leading to cumulative errors and suboptimal performance due to the lack of joint degradation modeling. To address these challenges, we propose a Unified Pansharpening Model with Thin Cloud Removal (Pan-TCR), an end-to-end framework that integrates physical priors. Motivated by theoretical analysis in the frequency domain, we design a frequency-decoupled restoration (FDR) block that disentangles the restoration of multispectral image (MSI) features into amplitude and phase components, each guided by complementary degradation-robust prompts: the near-infrared (NIR) band amplitude for cloud-resilient restoration, and the panchromatic (PAN) phase for high-resolution structural enhancement. To ensure coherence between the two components, we further introduce an interactive inter-frequency consistency (IFC) module, enabling cross-modal refinement that enforces consistency and robustness across frequency cues. Furthermore, we introduce the first real-world thin-cloud contaminated pansharpening dataset (PanTCR-GF2), comprising paired clean and cloudy PAN-MSI images, to enable robust benchmarking under realistic conditions. Extensive experiments on real-world and synthetic datasets demonstrate the superiority and robustness of Pan-TCR, establishing a new benchmark for pansharpening under realistic atmospheric degradations.

翻译：薄云条件下的全色锐化是一项具有重要实际意义但鲜有研究的工作，其挑战在于同时存在空间分辨率下降和云层引起的光谱畸变。现有方法通常将云去除与全色锐化分步处理，由于缺乏联合退化建模，导致误差累积和性能欠佳。为解决这些挑战，我们提出了一种集成物理先验的端到端框架——薄云去除统一全色锐化模型（Pan-TCR）。受频域理论分析的启发，我们设计了一种频率解耦复原（FDR）模块，将多光谱图像（MSI）特征的复原解耦为振幅和相位两个分量，每个分量分别由互补的退化鲁棒提示引导：近红外（NIR）波段振幅用于云层鲁棒性复原，全色（PAN）相位用于高分辨率结构增强。为确保两个分量之间的协调性，我们进一步引入了交互式跨频一致性（IFC）模块，通过跨模态细化实现不同频率线索间的一致性与鲁棒性。此外，我们构建了首个真实世界薄云污染全色锐化数据集（PanTCR-GF2），包含成对的洁净与含云PAN-MSI图像，以支持真实条件下的鲁棒基准测试。在真实世界和合成数据集上的大量实验证明了Pan-TCR的优越性和鲁棒性，为真实大气退化条件下的全色锐化确立了新的基准。