| 基于 Web语义的舰船雷达目标识别系统设计 |
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| 引用本文： | 张佳.基于 Web语义的舰船雷达目标识别系统设计[J].舰船科学技术,2016(7):133-137. |
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| 作者姓名： | 张佳 |
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| 作者单位： | 长江大学工程技术学院,湖北荆州,434020 |
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| 基金项目： | 湖北省教育科学规划资助项目(2015GB165) |
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| 摘 要： | 针对舰船雷达信号目标的识别方式简单、识别度低的情况，文中提出基于 Web语义的舰船雷达回波自动识别系统。因为雷达信号目标特征信息点分散且繁杂，在语义 Web网下取得雷达信号目标图像的数据特征，运用改进 FastICA算法提取特征数据后，通过智能雷达回波视频图像识别系统，对舰船目标图像进行分析。实验证明，基于 Web语义的舰船雷达目标识别系统，能使大量信息被系统充分利用，达到精确识别舰船雷达图像目标的目的。
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| 关 键 词： | Web语义 图像特征提取 FastICA算法 图像识别 智能雷达回波系统 |
Athletes wrong posture recognition method swimming competition video |
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| Abstract: | In view of ship radar signal recognition method is simple, identify degree is low, this paper puts forward the Web based semantic automatic recognition of radar echo of ships.Because of radar signal characteristic information point fragmented and multifarious, radar signal in the semantic Web offline data characteristics of the target image, using the improved FastICA algorithm to extract the feature data, through the intelligent radar video image recognition system, the analysis of ship target image.Experiments show that semantic ship radar target recognition system based on Web, the system can make a lot of information, make full use of to achieve the purpose of accurately identify the ship radar image. |
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| Keywords: | semantic web image feature extraction FastICA algorithm image recognition intelligent radar echo system |
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