摘要
针对遥感图像融合Brovey变换法存在颜色失真的现象,提出了一种低通比值融合法。该融合法首先对高几何分辨率的全色波段进行低通滤波,然后将低分辨率多光谱图像与全色波段图像相乘,再除以滤波后的全色波段图像,便得到融合图像。从辐照的角度证明了该低通比值融合法具备理论基础,并从目视评价、定量分析、分类精度证实了该低通比值融合法优于Brovey变换法,该低通比值融合法是一种能较好地保全低分辨率多光谱图像颜色的融合方法。
This paper analyzed the Brovey transform, and then proposed an improved method called panchromatic image lowpass filter based ratio fusion （ Low-pass RF） , that production＇ s color was accordant with that of the multi-spectral image. This paper discussed its theory mechanism at terms of radiancy. Also, the results of visual interpretation and quantitative analysis to gray variance index show that the Low-pass RF transform have a capability of retaining color from multi-spectral image. Classification accuracy of the fused image by Low-pass RF transform is higher than the Brovey image. Therefore, Low-pass RF transform is more excellent than Brovey transform.
出处
《计算机应用研究》
CSCD
北大核心
2010年第3期1173-1175,共3页
Application Research of Computers
基金
国家教育部核资源与环境重点实验室开放基金资助项目(081212)
江西省数字国土重点实验室开放基金资助项目(DLLJ200909)
