玉米光谱小波奇异熵的铜污染监测研究

发布时间：2019-01-05 07:31

【摘要】：不同浓度铜离子(Cu2+)胁迫梯度下的玉米叶片光谱存在细微差异,但传统的光谱相似性测度方法难以区分健康的与受污染的玉米叶片光谱间的变异信息.为此,本文结合小波变换和奇异熵理论,构建小波奇异熵(Wavelet Singular Entropy,WSE)方法用于Cu2+胁迫下的玉米污染程度分析与污染监测.通过设置不同浓度Cu2+胁迫梯度下的玉米盆栽实验,依据玉米叶片的光谱测量数据和所测定的叶片中Cu2+含量,并与绿峰高度(Green-peak Height,GH)和红谷吸收深度(Red-valley Depth,RD)光谱特征参数法污染监测应用结果进行对比分析,研究WSE方法的Cu2+污染监测效果.结果表明,WSE值与Cu2+胁迫梯度、玉米叶片中Cu2+含量呈显著正相关,WSE值大小能够较好地表征叶片光谱的污染信息奇异性及其污染程度.
[Abstract]:The spectra of maize leaves under different concentrations of copper ion (Cu2) stress gradient are slightly different, but the traditional spectral similarity measurement method is difficult to distinguish the variation information between healthy and contaminated maize leaves. In this paper, wavelet transform and singular entropy theory are combined to construct wavelet singular entropy (Wavelet Singular Entropy,WSE) method for maize pollution analysis and pollution monitoring under Cu2 stress. The pot experiment of maize under different concentration of Cu2 stress gradient was carried out. According to the spectral data of maize leaves and the content of Cu2 in the leaves, the experiment was carried out with green peak height (Green-peak Height,GH) and red valley absorption depth (Red-valley Depth,). RD) spectral characteristic parameter method was used to compare and analyze the application results of Cu2 pollution monitoring, and the effect of WSE method on Cu2 pollution monitoring was studied. The results showed that there was a significant positive correlation between WSE value and Cu2 stress gradient, Cu2 content in maize leaves, and the value of WSE value could better characterize the singularity of pollution information and the pollution degree of leaf spectrum.
【作者单位】：中国矿业大学(北京)地球科学与测绘工程学院;
【基金】：国家自然科学基金(No.41271436)~~
【分类号】：X835

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