中文摘要：

针对TH一1部分影像存在较大噪声的问题，提出一种基于快速离散曲波变换（fast discretecurvelet transforms，FDCT）的卫星影像融合方法．在融合处理过程中，对于FDCT分解出的低频系数子带采用加权平均算法，噪声较少的次高频子带采用最大区域边缘信息度量算法，噪声较为集中的最高频子带采用最大值替换算法．融合后的影像在常用影像质量评价指标统计值和去噪评价指标统计值两方面均显示，该方法的融合效果相对传统方法优势明显．

英文摘要：

As some TH-1 images have the problem of big noise, a fusion method for TH-1 images based on FDCT was proposed. During the fusion processing, the sub band of low frequency was processed by the weighted average algorithm; the sub-band of middle frequency, which has lower noise, was processed by the biggest region edge detection algorithm; the sub-band of the highest frequency, which has more intensive noise, was processed by the maximum substitution algorithm. The proposed method clearly outperforms traditional fusion methods in common image evaluation indicators and noise reduction evaluation indicators.