5. SUMMARY 
In this paper, texture features description of multispectral 
imagery and SAR imagery are conducted with Gabor wavelet. 
Then we established the texture mapping between two 
registered images based on GMM and solved the parameters 
with EM algorithm. It can be seen from the results that the 
output of transformation has a high similarıty and expression 
with the SAR imagery texture. What’s more, the bigger the 
number of single Gaussians in one GMM is, the lower 
transformed error precision will be. But in fact, the amount of 
calculation will increase greatly since the number of single 
Gaussians in one GMM increasing. Hence, the value of m 
should be selected carefully in the experiment. 
Finally, the approach proposed in this paper of texture features 
transformed under different imaging conditions has been proved 
to be effective. 
ACKNOWLEDGEMENTS 
This research is supported by National Key Basic Research 
Program of China (973 Program, Grant No. 2012CB719903). 
At the same time, the project is supported by the National 
Natural Science Foundation of China (Grant No. 41171327). 
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