Comparison and Analysis of Remote Sensing Image Fusion Using M-Band Wavelet

To investigate the fusion application based on multi-band wavelet transformation for remote sensing imagery,this paper presents an introduction to m-band wavelet transformation theory and a typical case in image fusion. Meanwhile,results from dyadic wavelet,dyadic wavelet packet and m-band wavelet transformation are compared; and the experimental results from different image fusion schemes are compared,including substitutive,addictive,as well as weighted models. It has been found that,m-band wavelet-based schemes perform better than dyadic schemes. In a word,it is the only scheme,not the best scheme. That is to say,the results from wavelet-based fusion methods can be improved by choosing more appropriate wavelet bases and more sophisticated models for injecting detailed information; however,there is still a long way to go.