全色图像和多光谱图像融合是合成高分辨率彩色遥感图像的常用方法之一，高质量的彩色图像需要融合全色图像的高空间分辨率和保持多光谱图像的光谱特性． 为提高融合图像的质量，文中提出了一种基于IHS 和Curvelet 变换的遥感图像融合方法，该方法首先将多光谱图像进行IHS 变换，然后将代表空间分辨率的I 分量与全色图像进行Curvelet 变换，并进行标准差融合，最后逆变换成高质量的彩色图像． 实验测试结果表明:文中方法合成图像的信息熵、相对无量纲的全局误差和通用图像质量指标均优于其他方法合成的图像，文中方法融合图像的平均梯度和相关系数与小波变换、PCA 变换方法相当; 文中方法的融合效果要优于其他方法．

The fusion of panchromatic images and multi spectral ones is one of the most commonly-used methods to compose high-resolution color remote sensing images.In order to achieve high-quality color images,it is necessary to fuse the high spatial resolution of panchromatic images and preserve the spectral characteristics of multi spectral images.In this paper,a novel fusion method of remote sensing images on the basis of the IHS transform and the Curvelet transform is proposed to improve the quality of fusion images.In the method,first,the RGB multi spectral images are converted into the IHS images.Then,the panchromatic image and the I component refering to spatial resolution are handled through the Curvelet transform,and are fused by means of the standard difference method.Finally,the high-quality color images are achieved through the inverse transforms.Experimnetal results show that the images fused through the proposed method are superior to those through the other methods in terms of entropy,relatively-dimensionless global error and universal image quality index,and are equivalent to those through the wavelet transform and the PCA transform in terms of average gradient and correlation coefficient.Overall,the proposed method has better fusion performance than the other three typical methods.