CAJ | 학술논문

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。
침대다광보도상여전색도상적융합,본문제출료일충기우IHS변환화형태소파변환적요감도상융합방법。신방법수선대다광보도상작IHS변환,득도량도I,색도H,포화도S삼개분량;기차,이용형태소파변환융합방법융합다광보도상적량도분량여전색도상,병용융합후적도상대체다광보도상적량도분량;최후,작IHS반변환득도신적다광보도상。주관시각효과분석화객관통계삼수분석평개분석표명,신방법적성능우우IHS변환융합、소파변환융합방법,불부교대지증강료융합도상적공간세절표현능력,이차흔호지보류료다광보도상적광보신식。
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.