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.
