基于多传感器信息融合的目标识别  

Target Recognition Based on Multisensor Information Fusion

作　　者：贾智伟[1] 陈天如[1] 李应红[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《系统工程与电子技术》2003年第7期810-813,共4页Systems Engineering and Electronics

摘　　要：在多传感器 (雷达和红外 )信息融合的目标识别中 ,不仅需要对点目标进行识别 ,而且也需要对面目标进行识别。由于传感器提供点目标和面目标的信息特征和信息量不同 ,致使信息融合的方法也不相同。针对这种情况 ,提出用基于智能规则推理的方法来进行点目标识别 ,用多传感器构成的联合特征向量的方法来进行面目标识别。仿真实验表明 。Both point target and area target should be recognized in target recognition based on multisensor(radar and infrared detector)information fusion. Because the characteristics and its amount of the information provided by sensors are different, information fusion methods are different. In this paper, point target recognition based on intelligent inference rules and area target recognition based on irrelevant feature vectors are put forward. Simulation test shows that the accuracy of the target recognition is highly enhanced.\;

关 键 词：多传感器 信息融合 目标识别 特征向量 

分 类 号：TN957[电子电信—信号与信息处理]