In this paper, he definition of data fusion, fusion levels, fusion methods and the application fields, especially in military affairs, in robots and in image processing, are introduced.
介绍了数据融合的定义、融合层次、融合方法及其应用领域，特别是在军事上，机器人控制及图像处理上的应用。
According to the fusion levels, there are data level, feature level, decision level included in data fusion.
从融合的层次结构出发，数据融合技术可分为数据级、特征级和决策级三个融合层次。
The definition, fundamental, fusion levels, process model, fusion methods of data fusion are summarized firstly.
首先对数据融合的定义、基本原理、融合层次、功能模型、融合方法等几个方面进行了综述。
Discuss the method and technique about integrated multiple levels data fusion based on the characteristics of multi-sources Remote Sensing information fusion classification.
结合多源遥感信息融合分类的特点，在多级数据融合方法集成技术的基础上，初步形成一个对多源遥感信息融合分类的技术框架。
The magnetic sensor data fusion model suitable for the detection of pipeline damage was established and classified into four levels.
建立适用于油管损伤检测的磁性传感器信息融合模型，并将信息融合模型分为四级。
The magnetic sensor data fusion model suitable for the detection of pipeline damage was established and classified into four levels.
建立适用于油管损伤检测的磁性传感器信息融合模型，并将信息融合模型分为四级。
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