利用Contourlet变换的多尺度、局部化、方向性和各向异性等优点,提出了一种基于Contourlet变换的遥感多光谱与全色波段图像融合新算法。算法首先对多光谱图像进行IHS变换，然后将多光谱的I分量和全色图像进行Contourlet分解，进而在不同子带中进行图像融合,低频采用一种新的基于形态学梯度算子的边缘信息融合算法，高频采用区域标准方差融合并使用形态学进行一致性检测，最后将得到的灰度融合图像进行线性拉伸并替代原来的I分量，进行IHS反变换后得到最终的融合图像。实验结果表明，与传统的图像融合算法相比，该算法能够更有效地融合源图像信息，保持源图像特征。

Utilizing the Contourlet’s advantages of multi-scale, localization directionality and anisotropy, a remote Sensing multi spectral and panchromatic image fusion algorithm based on morphology and Contourlet transform is developed.Firstly, the multi-spectral image is transformed by IHS transform. Secondly, panchromatic images and the component I of the multi-spectral image are decomposed to the domain of the Contourlet transform.The image fusion is then implemented in different subbands. A new edge fusion algorithm based on the morphology grad operator is adopted as fusion rules in lowpass subbands and region standard variance is adopted as fusion rules in highpass subbands.Furthermore, the consistency check based on the morphology is proposed. Finally, the stretched grayscale fused image replaces the original intensity component, and the final fused image is achieved using the inverse IHS transform.The experimental results show that, the proposed fusion method can integrate the information and retain the features of source images more effectively compared with the traditional algorithm.