基于近红外光谱和系统聚类法的蝗虫识别模型研究
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国家科技部科研院所社会公益研究专项项目(2004DIB3J076)


Locusts Detection Model Based on Near Infrared Spectra and Cluster Analysis
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    摘要:

    以蝗虫的近红外光谱图作为分析的对象,采用聚类分析方法对蝗虫进行快速的识别研究。结果表明:矢量归一化预处理后的光谱数据经最长距离法进行聚类分析,分类结果正确率为100%。此法可为蝗虫自动侦测系统中识别蝗虫提供一种可靠、简便的手段,盲样检测的准确率可达91.67%。

    Abstract:

    The objective of this study was to develop a rapid, real-time method for the detection of locusts.Near infrared spectra(NIR) in the range of 3996~12489.5cm-1 were recorded and the range of 3996~11502cm-1 was selected.Models were established by using the cluster analysis method.Different methods were compared.The study showed that complete-linkage model gave better results than single-linkage and other methods with the correctly classification rate of 91.67% for the test data set.Results indicate that NIR me...

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熊雪梅; 王一鸣.基于近红外光谱和系统聚类法的蝗虫识别模型研究[J].激光与红外,2007,37(3):237~239
XIONG Xue-mei; WANG Yi-ming. Locusts Detection Model Based on Near Infrared Spectra and Cluster Analysis[J]. LASER & INFRARED,2007,37(3):237~239

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