基于区域特性选择的多传感器图像融合

提出了一种提升小波变换和IHS变换相结合的多传感器图像融合新算法,首先,将高分辨力图像所有的低频特征融合到多光谱图像中,再对高分辨力图像经提升小波分解得到的各提升小波面叠加的边缘信息进行区域划分,采用边缘有效因子融合思想进行分区融合,最后,对提升小波反变换后的强度分量进行IHS反变换得到最终的融合图像。实验结果表明:该方法所得融合图像能够较好地保留多光谱图像的光谱信息的同时,提高了图像的空间分辨力,融合效果优于IHS变换法和小波变换法。

Multi-sensor image fusion based on selection operator

A new method based on lifting wavelet transform and intensity-hue-saturation(IHS)transform for multi-sensor image fusion is presented.Firstly,all the characteristics of high-resolution's low frequency are added to the multi-spectral image.Meanwhile the high-resolution panchromatic image is decomposed to the lifting wavelet planes,then the region is divided by edge influence factor.Finally,the fusion image is obtained by making the inverse IHS transform for the I component of the inverse lifting wavelet transform.The experimental results demonstrate that the performance of new method is better than IHS transform and wavelet transform(WT).It not only preserves spectral information of the original multi-spectral image well,but also enhances spatial detail information.