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Application of multi-sensor data fusion technology in target recognition

机译:多传感器数据融合技术在目标识别中的应用

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This paper presents a D-S evidence reasoning based on multi-sensor system, in which two CCD cameras and one IR sensor are used to extract features for discerning missile target, jamming light cluster and fire pile. With D-S evidence reasoning algorithm, we recognize missile target and jamming light on region square feature and cluster and fire pile on position feature, respectively. The experimental results show that the recognition probability obtained by fusing the D-S evidence of three sensors is greatly improved compared with using single sensors
机译:本文提出了一种基于多传感器系统的D-S证据推理方法,其中使用两台CCD摄像机和一个IR传感器提取特征以识别导弹目标,干扰光簇和火堆。利用D-S证据推理算法,我们可以分别识别导弹目标和区域正方形特征上的干扰光以及位置特征上的聚类和火堆。实验结果表明,与使用单个传感器相比,融合三个传感器的D-S证据获得的识别概率大大提高。

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