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