水中目标信息智能识别方法研究

Research on Intelligent Recognition Method of Underwater Target Information

摘要:

提出了基于判定准则的海洋环境下目标关系识别方法。通过HBACA算法查找或识别不同元素关系能力强的特性,提取目标信息数据的关系,之后在信息数据关系中计算每个信息节点的点度中心度、紧致中心度和节点活跃度,根据信息数据在目标事件中的重要或关键程度,将信息数据划分为关键目标信息、重要目标信息和一般目标信息。仿真结果显示:能够明确地获得关键的信息数据坐标,并与其所处事件的重要程度能够匹配,同时相关信息数据的关系非常明显,很容易提炼出所处目标事件中重要目标信息数据之间的关联。

Abstract:

A target recognition method under ocean environment based on decision criterion is proposed. Through the HBA-CA algorithm, this paper finds or identifies the characteristics of the strong relationship between different elements, extracts the rela-tionship between target information data, and then calculates the degree centrality , compact centrality and node activity of each in-formation node in the information data relationship. According to the important or critical degree of information data in the target e-vent, the information data is divided into key information, important information and general information. The simulation resultsshow that the key information data coordinate can be obtained clearly, and it can match the important degree of the event. At thesame time, the relation of the related information data is very obvious, and it is easy to extract the association between the importantinformation data in the target event.