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Principles and Methods for Image Fusion Toward Applications on Remote Sensing

LIU Zhe,REN Jin chang,LI Yanjun (Northwestern Poly. Univ, Xi′an 710072,China)  
Through integrated usage of multiple-source information, data fusion can get more objective and intrinsic knowledge of certain object or target. As the only means to afford dynamic and global observations, remote-sensing image fusion is very important on many military or civil applications, including aviation,aerospace, spying and disaster forecasting. Firstly, based on the introductions of the principles and process of image fusion on remote sensing, synthetic analysis of different methods is then presented. Shortcomings of current techniques are also given as well as the future trends. It is hoped that the investigation in this paper would benefit the research and development of related fields.
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