中文摘要：

提出了一种新的遥感图像融合方法,其基本思想是首先对多光谱遥感图像（MS）进行IHS变换得到IHS色彩空间的I、H、S分量;然后将高分辨率全色图像和MS的I分量进行3层小波变换,并采取基于区域特性选择的融合算子对小波系数进行选择,然后经小波逆变换重构得到新的强度分量I′;最后将I′、H、S进行IHS逆变换得到融合后的图像.此外,文中引入了相关系数,相对平均光谱误差指数（RASE）,相对整体维数综合误差（ERGAS）对融合图像的光谱质量进行评价,使用将融合图像与高分辨率全色图像分别经过拉普拉斯滤波器的滤波以提取细节信息,然后计算相关系数的方法对融合图像的空间细节质量进行评价.实验结果表明,本文算法在光谱质量的改善方面明显优于IHS及一些经典的小波变换遥感图像融合算法.

英文摘要：

In this paper, a novel hierarchical image fusion scheme is presented. The main idea is to perform a intensityhue-saturation（IHS） transform of multispectral image（ MS）, then achieve 3 layers wavelet decomposition of the I weight of MS and Panchromatic image（PAN） , at the same time, adopt the fusion arithmetic operator of region selection and weighted average operator to select the wavelet coefficient. Thus the fused I weight（I＇） is got by taking inverse wavelet transform. Finally the fused image is obtained by inverse IHS transform of I＇ weight and the H, S weights of MS. In addition, this paper uses the correlation coefficient, relative average spectral error index （RASE）, and relative global dimensional synthesis error（ERGAS） to evaluate the performance of the fusion image. The experimental results show that the fusion scheme put forward in this paper is better than IHS and some other classical fuse methods based on wavelet transform in improving spectrum quality of remote sensing image.