Abstract

The paper presents multi-sensor image fusion and its relevant framework and technical characteristics. The image fusion is divided into three level fusions: pixel level, feature level and decision level. It mainly discusses the image fusion algorithm at all levels of fusion, and then makes the summary and comparison of these algorithms. Since the high-level algorithms are related to some relevant practical applications of the image fusion, it is in general difficult to be summarized. So this paper also presents some typical algorithms of the feature and decision levels from the perspective of the applications, to provide the necessary summary of the high level image fusion algorithm. Further, the three levels of implementation schemes are described, followed by the comparison and summary for the image evaluation criteria of the fusion method. Some problems and future directions about the multi-sensor image fusion are finally given.

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