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基于IHS变换和形态小波变换的遥感图像融合
引用本文:陈增兵,张基宏.基于IHS变换和形态小波变换的遥感图像融合[J].深圳信息职业技术学院学报,2012,10(1):48-52.
作者姓名:陈增兵  张基宏
作者单位: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
基金项目:广东省自然科学基金项目
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。

关 键 词:IHS变换  小波变换  形态小波变换  遥感图像融合

Remote-sensing Image Fusion Based on IHS and Morphological Wavelet Transforms
CHEN Zengbing,ZHANG Jihong.Remote-sensing Image Fusion Based on IHS and Morphological Wavelet Transforms[J].Journal of Shenzhen Institute of Information Technology,2012,10(1):48-52.
Authors:CHEN Zengbing  ZHANG Jihong
Institution:1.School of Information Engineering,Shenzhen University,Guangdong 518060,China;2.Information Technology Research Center,Shenzhen Institute of Information Technology,Guangdong 518172,China)
Abstract:This paper presents a new remote-sensing image fusion method based on IHST and MWT to address the fusion of multi-spectral images and panchromatic images.Firstly,multi-spectral images are transformed by IHST to obtain I,H and S components;secondly,panchromatic images and the I-components of the multi-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 by inverse IHST.Visual results 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 detail information of fused images and preserves the spectral information of the original multi-spectral images to a large extent.
Keywords:HIS transform  wavelet transform  morphological wavelet transform  remote-sensing image fusion
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