中文摘要：

结合ICA算法可以去除高阶冗余信息和IWT具有多分辨率、运算速度快的特性,在非负性条件的约束下,提出一种基于整数小波变换和非负有序独立成分分析（IWT-ONICA）的遥感影像融合方法。将该方法用于全色影像和多光谱影像的融合,数理统计（峰值信噪比、扭曲度、熵等）和目视判读结果表明,该方法融合效果优于其他方法,融合结果更加清晰,可视性更好。

英文摘要：

A novel remote sensing image fusion method based on integer wavelet transformation and ordered non-negative independent component analysis （IWT-ONICA） is proposed according to the characteristic that ICA can remove the higher-order redundancy. The processing result of IWT is multi-resolution and the computing speed of IWT is quick. The proposed method is used to the fusion of Landsat ETM＋ and CBERS images. Mathematical statistical and visual results show that IWT-ONICA is superior to other fusion algorithm. The fused image of IWT-ONICA is clearer and the visual effect is better.