摘要
常用的遥感图像融合的方法 ,如HIS变换法、Brovey变换法和主成分变换法等在实施图像融合时 ,存在不同程度的光谱扭曲的现象。针对IRS与TM数据光谱响应范围不同 ,探讨了一种新的光谱保持型的EEIM融合算法。EEIM融合方法是首先对参与融合的全色波段进行滤波 ,然后进行比值变换 ,融合后的图像在信息量。
The fusion methods such as HIS transform, Brovey transform and principal components transform could merge two optical image data of different resolutions——a high spatial reso lution panchromatic image and a low spatial resolution but multi spectral image. But these fusion methods requie the spectral response range of the high spatial resolution panchromatic image are equal or approximate to that of the multi spectral image. This paper brought forward a new kind of fusion method called Edge Enhancement Intensity Modulation(EEIM) that could merge two optical image data of different spectral characteristics based on solar radiation and land surface reflection model. By using a ratio between a high resolution image and its LOG filtered image, spatial details can be modulated to a co registered lower resolution multi spectral image without altering its spectral properties.This paper put also forward `Difference Matrix Frobenius Norm' (DMFN) to evaluate difference of color between the EEIM image and multi spectral spectral image, The result of ‘ DMFN ’ showed that value of ` DMFN 'of the EEIM highei than method is less than the Brovey method,and the value of entropy of the EEIM image is higher than the Brovey image. The fused production of EEIM is more excellent at information amount and spectrum preserving.
出处
《遥感学报》
EI
CSCD
北大核心
2004年第4期356-361,共6页
NATIONAL REMOTE SENSING BULLETIN
基金
国家留学基金 ( 2 0 0 3 83 60 44 )
江西省科技项目"南方红壤荒漠化遥感调查"课题
关键词
光谱保持
EEIM融合法
遥感图像融合
spectral preservation
EEIM fusion method
remote sensing image fusion
