The IHS—Wavelet Image Fusion Method Using Fusion Model Based on Experimental Analysis

IHS image fusion method causes spectral distortion due to spectral allocation error when a big spatial resolution difference exists between the multispectral image and the panchromatic one.Wavelet decomposition,with properties of frequency division in transform domain,has its results depended on fusion rules and algorithm.This paper focuses on modifying IHS method with wavelet decomposition.The experimental analysis demonstrates that low frequency component is correlated strongly with spectral information and high frequency embodies spatial information,which leads to the practical fusion rules and algorithms for both low and high frequency component.When applying the improved HIS-Wavelet fusion policy to BJ-1 multispectral and panchromatic images,we gain fused image with both high spatial definition and low spectral distortion,which indicates the effective removal of bad-effects on image fusion caused by big spatial resolution difference between multispectral image and panchromatic one.