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机构地区:[1]西安电子科技大学机电工程学院,西安710071 [2]桂林电子科技大学电子工程与自动化学院,桂林541004 [3]中国电子技术标准化研究院,北京100007
出 处:《仪器仪表学报》2012年第11期2480-2486,共7页Chinese Journal of Scientific Instrument
摘 要:运用太赫兹(THz)光谱特性对爆炸物进行检测和识别,是现代检测技术研究的一个热点。在对多种单质炸药和混合炸药及几种可能与它们混淆的物质的太赫兹特征吸收光谱进行研究的基础上,提取它们在0.2~2.2THz频率范围内4个相对较强的特征吸收峰作为分类识别的特征参数,用模糊模式识别方法对它们的太赫兹特征吸收谱进行了分类和识别。首先,用基于模糊等价关系的模糊聚类分析方法对这几种物质的太赫兹特征吸收谱进行聚类训练,获得样品分类并形成标准太赫兹吸收光谱模型库;然后,选用与训练样本主体成分相同的2种物品作为待识别对象,采用基于择近原则的模糊模式识别方法进行了成功识别。研究结果表明,基于模糊聚类分析的模糊模式识别方法对太赫兹吸收谱具有较强的相似特征聚类功能和较高的识别率,为太赫兹光谱技术用于爆炸物的检测和识别提供了一种有效的方法。Detection and identification of explosives using terahertz (THz) spectrum characteristics is a hotspot in the research of modern detection technology. On the basis of studying the absorption spectra of several pure explosives, mixed explosives and potential confusion materials ,four relatively strong characteristic absorption peaks in the frequency range from 0.2 to 2.2 THz are extracted as the characteristic parameters of classification and recognition, and fuzzy pattern recognition is used to carry out the classification and recognition of their THz characteristic absorption spectra. Firstly,fuzzy cluster analysis method based on fuzzy equivalent matrix is used to cluster the THz absorption spectra of these materials, thus the sample clustering is obtained and the standard model library of THz absorption spectra is formed. Secondly, two materials, which have the same main ingredient as that of the training samples, are used as the objects to be identified; and the fuzzy pattern recognition method based on the principle of fuzzy closeness optimization is adopted to identify the objects. Study results indicate that the fuzzy pattern recognition method based on fuzzy cluster analysis has strong similar character clustering function and high recognition rate for THz absorption spectra, which provides an effective method in the detection and identification of explosives using THz spectroscopy.
关 键 词:太赫兹 吸收光谱 爆炸物 模糊聚类 模糊模式识别
分 类 号:O235[理学—运筹学与控制论] O433.4[理学—数学]
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