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Multisensor remote image fusion technology based on self-organizing neural network

LIU He-xiang~1,FENG Xin-xi~1,WANG Jun~2 (1.Inst of Telecommunication Engin,Air force Engineering University,Xi'an 710077,China; 2.The First Flying Academy of Air Force,Harbin 150001,China)  
Multisensor remote image fusion is a technique that both synthetically analyses,and processes remote sensing information and the research on it has been one of the most popular lessons in remote sensing fields.High-quality classification and fusion for multisensor remote image are done by the use of self-organizing feature map neural network which has a good characteristic of cluster.Through comparing with the image qualities of former and later and the quality estimation of image fusion,it is not difficult to find that both the visual effect and noise characteristic of the fusion images get a very good improvement.
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