基于HIS变换和WT变换的遥感影像融合

Remote Sensing Image Fusion Based on IHS Transform and Wavelet Transform

遥感影像信息融合是近年来国际遥感领域的研究热点。传统的遥感影像融合主要是HIS变换法、加权平均法、PCA法等。利用小波变换(WT)技术进行遥感影像融合是近年来的研究热点,但其直接舍弃了全色图像的低频率分量,在结果图像中容易出现分块效应。本文结合HIS变换和小波变换的互补性,提出了一种基于HIS变换和小波变换的遥感影像融合方法。通过实验、直观和定性分析,新方法既可以增强融合影像的空间细节表现能力,同时也很好地保留了多光谱影像的光谱信息。

Recently,the research of remote sensing image fusion is one of the important aspects in remote sensing fields. As traditional fusion methods, there are HIS, transform, average weighting method,principle component analysis transform （PCA） and so on. Studying remote sensing image fusion based on wavelet transform （WT） receives more focuses, but this method directly ignores the low - fre- quency parts, in the results that can easily arise image of block. By combining HIS transform with wavelet transform,this paper gives a fusion method based on HIS transform and wavelet transform. By experiments and intuitive and qualitative analysis, we can find the new method enhances the ability of spatial detail information of the fusion image and preserves spectral information of multi - spectral image.