基于IHS变换和形态小波变换的遥感图像融合  

Remote-sensing Image Fusion Based on IHS and Morphological Wavelet Transforms

作　　者：陈增兵[1] 张基宏[2] 

机构地区：[1]深圳大学信息工程学院,广东深圳518060 [2]深圳信息职业技术学院信息技术研究所,广东深圳518172

出　　处：《深圳信息职业技术学院学报》2012年第1期48-52,共5页Journal of Shenzhen Institute of Information Technology

基　　金：广东省自然科学基金项目(9251817204000001)

摘　　要：针对多光谱图像与全色图像的融合,本文提出了一种基于IHS变换和形态小波变换的遥感图像融合方法。新方法首先对多光谱图像作IHS变换,得到亮度I,色度H,饱和度S三个分量;其次,利用形态小波变换融合方法融合多光谱图像的亮度分量与全色图像,并用融合后的图像代替多光谱图像的亮度分量;最后,作IHS反变换得到新的多光谱图像。主观视觉效果分析和客观统计参数分析评价分析表明,新方法的性能优于IHS变换融合、小波变换融合方法,不仅较大地增强了融合图像的空间细节表现能力,而且很好地保留了多光谱图像的光谱信息。This paper presents a new remote-sensing image fusion method based on IHST and MWT to address the fusion of muhi-spectral images and panchromatic images. Firstly, muhi-spectral images are transformed by I ttST to obtain 1, H and S components; secondly, panchromatic images and the l-components of the muhi-spectral images are merged with the MWT-based fusion method, and then the I-component is replaced by the merged data： finally, fused images are obtained hy inverse IHST. Visnal resuhs and statistical parameters indicate that the performance of the new method is superior to that of the IHST-based, WT-based methods. It considerably enhances the spatial delail information of fused images and preserves the spectral information of the original muhi-speclral images to a large extent.

关 键 词：IHS变换 小波变换 形态小波变换 遥感图像融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]