On the basis of previous study of three common image matching method with different feature, their performance and adaptability an analazed, and then a simple data fusion method-DS theory judge their matches is used, and ultimately the formation of a fusion matching algorithm, thereby overcoming the limitations of the individual features and algorithms is achieved a multi-feature, multi-algorithm complement each other, improved the adaptability of matching.%针对三种常见的图像匹配方法的优缺点进行了分析.然后利用一种常用的数据融合方法——DS理论,对匹配结果进行融合判断.最终形成了一种融合匹配算法,从而克服了单个特征和算法的局限性,实现了多特征、多算法优势互补,提高了匹配的适应性.
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