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Space target recognition method based on Dynamic template matching of HRRP

机译:基于HRRP动态模板匹配的空间目标识别方法

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In view of this problem of strong correlation between the existing recognition template training method and the recognition scene,the requirement of the prior knowledge of scene is higher, and the recognition is not suitable A method of spatial target recognition based on dynamic template matching is proposed.Firstly, the omnidirectional static data attitude sensitivity of the target is analyzed, and the recognition threshold is given by the minimum K-L distance In the recognition process, the Line of sight angle of the target is estimated by the radial length of the one-dimensional range image,The line of sight angle distribution in the accumulation window is extracted,Extracting the static data from the same line of sight to generate the identification template in real time, and matching the template with the test data to be identified, and then complete the target recognition by recognizing the threshold.
机译:针对现有识别模板训练方法与识别场景之间相关性强的问题,对场景的先验知识提出了更高的要求,并且不适合识别。提出了一种基于动态模板匹配的空间目标识别方法首先,分析目标的全向静态数据姿态敏感性,并以最小KL距离给出识别阈值。在识别过程中,通过一维径向长度估计目标的视线角距离图像,提取累积窗口中的视线角度分布,从同一视线中提取静态数据以实时生成识别模板,并将该模板与要识别的测试数据进行匹配,然后完成通过识别阈值来识别目标。

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