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作 者:林雪原 李雪腾 潘新龙 李敏波[4] 陈祥光[1] LIN Xueyuan;LI Xueteng;PAN Xinlong;LI Minbo;CHEN Xiangguang(Department of Electrical and Electronic Engineering,Yantai Nanshan University,Yantai 265713,China;91827 Troops,Weihai 264200,China;Institute of Information Fusion,Naval Aviation University,Yantai 264001,China;Software School,Fudan University,Shanghai 200433,China)
机构地区:[1]烟台南山学院电气与电子工程系,山东烟台265713 [2]91827部队,山东威海264200 [3]海军航空大学信息融合研究所,山东烟台264001 [4]复旦大学软件学院,上海200433
出 处:《武汉大学学报(信息科学版)》2021年第9期1378-1385,共8页Geomatics and Information Science of Wuhan University
基 金:国家自然科学基金(91538201,61671157);烟台市“双百计划”人才项目(YT201803)。
摘 要:在进行海上作战态势分析时,通常需要剔除目标海域内对态势分析影响较小的非作战目标,只保留参考价值较高、作战相关的目标航迹数据。现有的行为规律挖掘方法大多是基于聚类的思想,作用于非作战目标清洗问题时工作步骤较为复杂、效果较差。结合态势分析需求,基于相似重复记录检测的思想,通过定义多维度记录匹配相似度(multi-dimension record similarity,MDRS),提出了一种海上非作战目标实时清洗方法。通过对多维航迹数据的相似重复检测,实现对非作战目标的实时清洗。在仿真军事场景上进行实验分析,结果表明所提方法能够实时、有效地检测出海上非作战目标。Objectives: It is usually necessary to eliminate non-combat targets for conducting marine combat situation analysis. Because non-combat targets have little impacts on situational analysis and the retained combat-correlated targets have high reference value. Most of the existing behavior mining methods, which are based on the idea of clustering, are complicated and ineffective in cleaning of non-combat targets.Methods: Therefore, this paper defines multi-dimension record similarity(MDRS) and proposes a real-time cleaning method for marine non-combat targets(MNCT-RTCM). The proposed method realizes the real-time cleaning of non-combat targets by similar duplicate record detection of multi-dimensional track data. Results: The experiments are carried out on simulated military scenarios, and the results are evaluated and analyzed by calculating the recall rate and the precision rate. Conclusions: The results show that the MNCT-RTCM method can effectively detect non-combat targets and achieve real-time cleaning of noncombat targets in the marine combat environment.
分 类 号:P208[天文地球—地图制图学与地理信息工程] TP274.2[天文地球—测绘科学与技术]
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