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中文摘要：
针对IHS变换的影像融合易产生光谱扭曲（颜色失真）的问题,文章提出了一种基于IHS变换与Bandelet变换相结合的遥感影像融合算法,利用Bandelet变换能很好捕获原始图像的边缘与纹理的特性,获取更好的彩色图像特征信息,达到最佳逼近效果：对多光谱影像Mul做IHS变换并提取I分量,通过对I分量与高分辨影像Pan做Bandelet变换,并对其几何流和Bandelet系数采用不同融合规则,再由IHS逆变换实现图像融合。实验结果表明,基于IHS与Bandelet的融合算法较IHS法在获取更丰富影像边缘细节特征信息的同时,光谱扭曲（颜色失真）现象也明显减弱,并获得了较好的人眼视觉效果,其中三角IHS与Bandelet融合的效果较好。
英文摘要：
Aiming at the problem that the image fusion by IHS transform is prone to spectral distortion（color distortion）,the paper presented an algorithm of remote sensing image fusion based on the combination of IHS transform and Bandelet transform,which used of the character of Bandelet transform that it captures the edges of the original image with texture features,better for the acquisition of color image feature information,and achieve the optimal approximation effect：IHS transform was done on the multispectral image and extract component I,and Bandelet transform was done on component I and the high resolution image Pan,meanwhile the geometric flow and Bandelet coefficients were used with different fusion rules,then the image fusion was realized through IHS inverse transformation finally.Experimental result showed that the proposed method could not only obtain more detailed image edge information,but also reduce the phenomenon of the spectral distortion（color distortion）with preferable human visual effect,among which the fusion effect of the triangle IHS and Bandelet would be better.
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