| 基于近红外反射光谱的外来入侵植物的辨识 |
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| 引用本文： | 虞佳佳,邹伟,何勇,徐正浩. 基于近红外反射光谱的外来入侵植物的辨识[J]. 光谱学与光谱分析, 2009, 29(11): 2955-2958. DOI: 10.3964/j.issn.1000-0593(2009)11-2955-04 |
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| 作者姓名： | 虞佳佳 邹伟 何勇 徐正浩 |
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| 作者单位： | 浙江大学生物系统工程与食品科学学院,浙江,杭州,310029;浙江大学环境与资源学院,浙江,杭州,310029 |
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| 基金项目： | 国家高技术研究发展计划("863"计划)项目，国家自然科学基金项目，浙江省自然科学基金项目，浙江省科技计划项目，教育部人文社会科学研究一般项目 |
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| 摘 要： | 提出了一种利用可见一近红外反射光谱技术对婆婆纳、波斯婆婆纳、直立婆婆纳等3种入侵植物和本地杂草宝盖草的植物辨别方法,可以对外表相似度极高的这4种植物进行有效鉴别.研究在对光谱曲线进行预处理和聚类分析后,随机采用30×4个样本作为建模样本,其余的20×4个样本作为预测样本,应用独立软模式法SIMCA(soft independent models of class analogy)进行分类,在显著性水平为5%下,其预测分辨率为78.75%,去除婆婆纳后的预测分辨率为90%.根据变量建模能力(modeling power)值,找到敏感波段496～521,589～626和789～926 nm,并将相应的波段的光谱值作为最小二乘的支持向量机LS-SVM(least squares support vector machine)的输入,进行建模预测,并以预测结果作为目标函数值,进行遗传算法GA(genetic algorithm)优化,结果发现,预测分辨率达95.35%,辨识效果好,能快速正确区分外来入侵植物.
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| 关 键 词： | 可见-近红外光谱 外来入侵植物 主成分分析 遗传算法 |
| 收稿时间： | 2008-12-03 |
Fast Catalogue of Alien Invasive Weeds by Vis/NIR Spectroscopy |
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| YU Jia-jia,ZOU Wei,HE Yong,XU Zheng-hao . College of Biosystems Engineering , Food Science,Zhejiang University,Hangzhou ,China. Fast Catalogue of Alien Invasive Weeds by Vis/NIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2009, 29(11): 2955-2958. DOI: 10.3964/j.issn.1000-0593(2009)11-2955-04 |
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| Authors: | YU Jia-jia ZOU Wei HE Yong XU Zheng-hao . College of Biosystems Engineering Food Science Zhejiang University Hangzhou China |
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| Affiliation: | YU Jia-jia1,ZOU Wei1,HE Yong1,XU Zheng-hao2 1. College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China2. Institute of Environment and Resource,China |
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| Abstract: | The feasibility of visible and short-wave near-infrared spectroscopy (VIS/WNIR) techniques as means for the nondestructive and fast detection of alien invasive weeds was evaluated. Selected sensitive bands were found validated. In the present study,3 kinds of alien invasive weeds,Veronica persica,Veronica polita,and Veronica arvensis Linn,and one kind of local weed,Lamiaceae amplexicaule Linn,were employed. The results showed that visible and NIR (Vis/NIR) technology could be introduced in classification of... |
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| Keywords: | Vis/NIR spectrum Alien invasive weeds PCA GA |
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