Analysis and Comparison of Multi-Source Information Fusion Technologies
Yang Li, Ming Jie Zhao, Xu Mengyao, Yunfei Liu, Qian Yuchen · Frontiers in artificial intelligence and applications · 2019
Multi-source information fusion technologies combine multiple homogeneous or heterogeneous information sources in space dimension or time dimension according to one specific standard, and obtain consistent interpretation or description of the measured object, then improve performance of the information system. According to the level of fusion, the fusion model usually integrates information from three levels including data level, feature level, and decision level. The system architecture used information fusion technology can be generally classified into three kinds, such as centralized fusion, distributed fusion and hybrid fusion architecture. According to the actual problem with the different information source data characteristics, we can separately adopt different level fusion methods or combine some two levels of fusion methods, and obtain better system performance.