| 镉污染水稻高光谱诊断分析与建模 |
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| 作者姓名： | Xiu LN Liu XN Liu ML |
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| 作者单位： | 1. 中国地质大学(北京)信息工程学院,北京,100083;天津城市建设学院管理工程系,天津,300384
2. 中国地质大学(北京)信息工程学院,北京,100083 |
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| 基金项目： | 国家高技术研究发展计划(863计划)项目(2007AA12Z174); 国家自然科学基金项目(40771155)资助 |
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| 摘 要： | 为了快速、准确地探测自然环境下水稻镉污染胁迫状况,提出了一种基于可见光-近红外光谱小波分析技术的快速识别和估算水稻镉污染的方法。根据野外实测水稻高光谱数据、水稻叶片主要生化参数及重金属含量等数据,利用Daubechies小波系的db5小波函数对350～1300nm水稻高光谱反射率进行9层分解,并提取小波能量系数进行镉含量回归建模。结果显示:第5层小波分解(d5)的奇异范围为550～810nm,奇异幅度为0.04,模极大值的中心位于700nm处,对识别水稻镉污染效果最佳;以第3层小波能量系数作为自变量的回归模型对水稻镉含量估算精度最高,其决定系数R2高达0.958,均方根误差RMSE为0.122。小波奇异性分析可以较准确的诊断水稻镉污染胁迫状况,基于小波能量系数的建模能有效估算水稻镉污染胁迫水平。
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| 关 键 词： | 高光谱 镉污染胁迫 小波分析 奇异性检测 小波能量系数 |
Analysis and modeling of hyperspectral singularity in rice under Cd pollution |
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| Xiu LN,Liu XN,Liu ML.Analysis and modeling of hyperspectral singularity in rice under Cd pollution[J].Spectroscopy and Spectral Analysis,2011,31(1):192-196. |
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| Authors: | Xiu Li-Na Liu Xiang-Nan Liu Mei-Ling |
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| Institution: | XIU Li-na1,2,LIU Xiang-nan1*,LIU Mei-ling1 1. College of Information Engineering,China University of Geosciences,Beijing 100083,China 2. Department of Management Engineering,Tianjin Institute of Urban Construction,Tianjin 300384,China |
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| Abstract: | In order to detect the Cd stress levels of rice growing in natural environment fast and accurately,based on wavelet transform technology in the visible light and near-infrared region (NIR), a method of identifying stress levels of rice under Cd pollution was explored. The hyperspectral data, biochemical parameters and heavy metals concentration in folium were collected for the rice growing in natural farmlands. Wavelet transform of hyperspectral reflectance (350~1 300 nm) was performed by using Daubechies 5... |
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| Keywords: | Hyperspectral Cd pollution stress Wavelet analysis Singularity diagnosis Wavelet energy coefficient |
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