【摘要】 重点研究了卫星遥感图像融合技术．通过在Matlab平台上实现基于颜色空间变换和基于小波变换的图像融合算法,分析了颜色空间变换的融合特点,并结合高分辨率图像,多光谱图像以及SAR图像的融合结果对相关理论进行了验证;研究了基于小波变换的融合方法在不同分解和重构级数下所获得的融合图像的特征,比较了各级融合图像的特点和相互间的差别;通过对高分辨率图像和多光谱图像的融合实例,给出了达到融合目的所应进行的最低分解重构级数与两原始图像空间分辨率指标比值间的定量关系;分析了不同小波因子对融合结果的影响,并结合颜色空间变换方法的融合结果得出了最终结论．更多还原

【Abstract】 In this paper, it is paid attention to the image fusion technology. In the field of image fusion, there are two major algorithm, one is color transformation. Images can be represented differently in RGB color and IHS color, the elements of images in IHS color are calculated, and then achieve the fusion of different images. This method used to play a important role. From the 1980s, another new mathematic tool began to be developed. It is wavelet analysis. Image fusion based on color transformation and wavelet transformation have been achieved in the environment of Matlab. The characters of color transformation have been studied. The characters of fusion images got from different levels of wavelet transformations coefficients are studied and difference of different level wavelet transformations are analyzed, the relations between the wavelet transform levels and the ratio between the different images’ space resolution are given in order to get good fusion images, and effects of different wavelet on image fusion are also analyzed.更多还原