CAJ | 학술논문

非下采样Contourlet 变换具有多尺度、多方向性、强大的稀疏表达能力，能够有效捕获图像中的纹理信息，文中提出了一种新的基于非下采样Contourlet变换和 HIS变换的遥感图像融合方法。对多光谱图像进行 H IS 变换，将得到的亮度分量和全色图像进行非下采样Contourlet变换，通过融合算法得到新的亮度分量，进行 HIS逆变换得到融合图像。实验结果表明，该方法在保留原图像的频谱信息的同时增强了融合图像的空间细节表现能力。
비하채양Contourlet 변환구유다척도、다방향성、강대적희소표체능력，능구유효포획도상중적문리신식，문중제출료일충신적기우비하채양Contourlet변환화 HIS변환적요감도상융합방법。대다광보도상진행 H IS 변환，장득도적량도분량화전색도상진행비하채양Contourlet변환，통과융합산법득도신적량도분량，진행 HIS역변환득도융합도상。실험결과표명，해방법재보류원도상적빈보신식적동시증강료융합도상적공간세절표현능력。
Nonsubsampled contourlet transform is a multi-scale ,multi-direction method with strong sparse decomposition property ,w hich can capture detail information of images efficiently .Considering the advantages of nonsubsampled contourlet transform , the new image fusion method based on nonsubsampled contourlet transform and HIS transform for remote sensing images is proposed .Firstly , intensity component is obtained from multispectral image through HIS transform .Then coefficients are obtained by fusion algorithm , w hich performes on I component and panchromatic image by NSCT transform .Finally ,the fusion images are received by inverse HIS transform on H and S component of multispectral image .The experiment results show that the proposed algorithm not only preserves spectral information of original images well , but also enhances detail texture information in image fusion .