信息熔化是一项挑战性的任务从各种各样的同类或异构的传感器为高级应用提取要求的信息。这份报纸总结一些改进在最近包括评价熔化,在信息熔化的介绍结构的五年想象熔化和其它。信息熔化和他们的变体的一些技术被讨论。尽管算法最先进因为信息熔化被建议了,在那里关于利用新兴的多传感器特征和他们的特殊结构仍然是一些基本挑战。最后,评价熔化的一些潜在的前景和图象熔化被讨论。
Information fusion is a challenging task to extract the required information for high-level applications from various homogeneous or heterogeneous sensors. This paper summarizes some improvements in recent five years in the presented structure of information fusion, including estimation fusion, image fusion and others. Some technologies of information fusion and their variants are discussed. Although the state-of-the-art of the algorithms for information fusion have been proposed, there still remains some fundamental challenges with regard to exploiting the emerging multi-sensors' characteristics and their special structures. Finally, some potential prospects of estimation fusion and image fusion are discussed.