红外与激光融合目标识别方法

Fusion target recognition method of infrared and laser

  • 摘要: 针对自动目标识别需求,提出了一种激光与红外融合目标识别方法。首先分别对激光与红外两类单源数据分别提取小波矩和投影轮廓特征来表征目标;其次,将两类单源特征进行组合,并对组合后的特征进行约简。考虑到组合多个约简在进行分类时将产生互补信息,基于三种不同观点的约简提出了一种差异性组合分类器的构建方法,对约简后的激光和红外复合数据进行融合识别。最后,通过对激光与红外仿真数据的实验,验证了文中方法的有效性。

     

    Abstract: Aiming at the requirement of automatic target recognition, a method of laser and infrared fusion target recognition is proposed. Firstly, wavelet moment and projection contour feature are extracted respectively from laser and infrared datas respectively. Secondly, two kinds of single source features are combined, and then the features are reduced. Considering the combination of multiple reductions will produce complementary information, three different views of the reduction algorithm are adopted to construct the diversity combination classifier. Then the fusion recognition method of laser and infrared fusion is presented. Finally, the effectiveness of the proposed method is verified by the experiment of laser and infrared simulation data.

     

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