| 基于PCA_SVR的油菜氮素光谱特征定量分析模型 |
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| 引用本文： | 张晓东,毛罕平,程秀花.基于PCA_SVR的油菜氮素光谱特征定量分析模型[J].农业机械学报,2009,40(4):161-165. |
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| 作者姓名： | 张晓东 毛罕平 程秀花 |
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| 作者单位： | 1. 江苏大学现代农业装备与技术省部共建教育部,江苏省重点实验室,镇江,212013
2. 扬州大学动物科学与技术学院,扬州,225009 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，江苏省333高层次人才培养工程专项基金 |
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| 摘 要： | 研究了采用光谱分析技术对油菜植株全氮进行定量分析的方法.采用逐步回归法对氮素的光谱特征波长进行选择,为克服光谱变量间多重共线性的影响,对变量进行了主成分分析(PCA),为提高模型的拟合优度,应用支持向量机回归(SVR)建立油菜氮素的定量分析模型.对不同氮素水平的油菜冠层光谱数据进行分析,结果表明,406、460、556、634、662、675nm的光谱反射率与油菜含氮量呈极显著相关.植株全氮SVR模型预测值与实测值的相关系数为0.89,模型的检验误差(RMSE)为2.51.
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| 关 键 词： | 油菜 氮素 光谱分析 主成分分析 支持向量机 |
Content Spectral Character Models Based on PCA_SVR Method |
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| Zhang Xiaodong,Mao Hanping,Cheng Xiuhua.Content Spectral Character Models Based on PCA_SVR Method[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(4):161-165. |
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| Authors: | Zhang Xiaodong Mao Hanping Cheng Xiuhua |
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| Institution: | 1.Key Laboratory of Modern Agricultural Equipment and Technology;Ministry of Education & Jiangsu Province;Jiangsu University;Zhenjiang 212013;China 2.College of Animal Science and Technology;Yangzhou University;Yangzhou 225009;China |
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| Abstract: | It was studied that using spectral analysis to quantitatively analyze the rape total nitrogen content.Stepwise regression was used to select the characteristic wavelength of total nitrogen content against rape leaf spectra for nitrogen content prediction.The method of principal component analysis(PCA) was used to avoid the effect of multiple co-linearity among the spectral data.In order to enhance model forecast precision,the method of support vector machine regression(SVR)was used to establish the model be... |
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| Keywords: | Rape Nitrogen Spectral analysis Principal component analysis Support vector machines |
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