目的 :根据shanon采样定理 ,研究将多幅低分辨率遥感图像进行信息融合处理 ,形成单幅较高分辨率图像。方法 :用数学方法求解对应于低分辨率遥感图像的统一频谱混叠。结果 :给出了不同分辨率图像频谱混叠矩阵的统一表达式。结论 :实验结果证明了本算法能有效提高遥感图像空间分辨率 0 .5～ 1倍。 OBJECTIVE: According to the shanon sampling theorem, several low-resolution remote sensing images are fused to form a single higher-resolution image. Methods: Solve uniform spectral aliasing corresponding to low resolution remote sensing images mathematically. Results: The uniform expressions of the spectral aliasing matrix of different resolution images are given. Conclusion: The experimental results show that this algorithm can effectively improve the spatial resolution of remote sensing images by 0.5 ~ 1 times.