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作 者:王景石 乔慧[1] 何佳洲[1] 蒋丙栋 WANG Jingshi;QIAO Hui;HE Jiazhou;JIANG Bingdong(Jiangsu Automation Research Institute,Lianyungang 222006)
出 处:《舰船电子工程》2021年第7期40-45,共6页Ship Electronic Engineering
摘 要:针对当前雷达、卫星等传统手段在检测识别超远距离海上大中型目标中存在的探测距离短、工作效率低等问题,提出一种基于开源情报的海上大中型目标检测与识别方法。通过构建舰艇目标身份信息库,利用开源的AIS信息,发现海上目标并提取出舰艇目标的身份特征和历史航迹,同时为提高检测结果的可信度,结合实体命名识别方法,提取互联网中目标的相关信息以验证获取的AIS信息。实验证明,该方法可实现超远距离海上大中型目标的检测和识别。In the process of detection and recognition of ultra-long-distance large and medium-sized targets,the detection range of radars is short and the use of satellites is inefficient.To solve the problems of traditional detection methods,a method for de⁃tecting and recognizing large and medium-sized marine targets based on open source intelligence is proposed.In this method,war⁃ship information database is constructed,and with the use of open AIS information,the target warship,its identity and historical tracks are traced.At the same time,in order to improve the credibility of the results,with the use of the entity naming recognition method in natural language,the activity information is extracted to verify the obtained AIS information.Experiments show that this method can solve the problem of detection and recognition of ultra-long-distance large and medium-sized targets.
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