数据融合在战场目标识别中的应用

Application of Data Fusion on Battlefield Target Recognition

采用异类传感器系统之间的集中式数据融合技术可以提高战场目标识别的准确度。首先,简要介绍数据融合技术的基本理论;然后,阐述数据融合在战场目标识别中的任务;最后,应用集中式数据融合技术进行战场目标识别仿真,检验其可行性。结果表明,该设计取得了良好的分类结果,将在军事领域得到更加广阔的应用。

Using heterogeneous sensor systems for centralized data fusion technology can improve the accuracy of battlefield target recognition. At first, briefly describes the basic theory of data fusion technology; and then expound the tasks in the battlefield that used data fusion in target recognition. Finally, used centralized data fusion technology for battlefield target identification simulation and verify its feasibility. Result shows that the design is good at classification and it will be extensive used in military field.