【摘要】：為了區(qū)分不同濃度銅離子(Cu~(2+))脅迫引發(fā)玉米的葉片光譜間微弱信息差異和銅污染程度,根據(jù)玉米葉片實(shí)測(cè)的SVC高光譜數(shù)據(jù)和同步獲取的玉米葉片中銅含量數(shù)據(jù),利用Daubechies小波系中的"Db5"小波,得到玉米葉片光譜在350~2500nm波段范圍小波分解的第5層高頻組分(d5),并采用盒維法計(jì)算d5的分形維數(shù),通過(guò)分形維數(shù)鄰近變化率(α)討論不同銅脅迫梯度下玉米葉片光譜分形維數(shù)的變化趨勢(shì),從而可對(duì)d5的奇異范圍、奇異幅度等光譜奇異性參數(shù)進(jìn)行定量計(jì)算和分析.結(jié)果表明:d5能精確地探測(cè)到玉米不同銅脅迫梯度污染的光譜奇異性弱信息,并實(shí)現(xiàn)不同污染程度玉米高光譜信號(hào)的分離;d5分形維數(shù)隨污染程度的增加先減小后緩慢升高,最后達(dá)到峰值,其中Cu(100)分形維數(shù)值最小;CK(0)與Cu(100)間α為負(fù),其他兩個(gè)脅迫梯度區(qū)間內(nèi)均為正,且Cu(100)和Cu(300)間α絕對(duì)值最小,而Cu(300)和Cu(500)間α絕對(duì)值最大;通過(guò)建立玉米葉片銅含量估算模型驗(yàn)證了玉米葉片中銅含量與奇異幅度及分形維數(shù)之間存在較強(qiáng)的相關(guān)關(guān)系,各脅迫梯度玉米葉片中Cu含量的差異均達(dá)到顯著水平(為0.05),其決定系數(shù)R2=0.9501.所以,光譜高頻組分分形維數(shù)和奇異性特征能夠有效地診斷并定量分析玉米銅污染程度狀況,從而可為作物重金屬污染監(jiān)測(cè)提供借鑒意義.
[Abstract]:In order to distinguish the weak difference of spectral information and the degree of copper pollution in maize leaves caused by different concentrations of Cu ~ (2) stress, the SVC hyperspectral data of maize leaves and the data of copper content in maize leaves were obtained simultaneously. Using the "Db5" wavelet in the Daubechies wavelet system, the fifth layer high frequency component (d5) of maize leaf spectrum in the range of 350~2500nm band is obtained, and the fractal dimension of d5 is calculated by box dimension method. The variation trend of spectral fractal dimension of maize leaves under different copper stress gradients was discussed by means of fractal dimension adjacent change rate (偽). The singular range, singular amplitude and other spectral singularity parameters of d5 could be calculated and analyzed quantitatively. The results showed that the spectral singularity of different Cu stress gradients in maize could be detected accurately by the ratio d5, and the fractal dimension of fractionation of hyperspectral signals of maize with different pollution degree was decreased firstly and then increased slowly with the increase of pollution degree. The value of Cu (100) fractal dimension is negative between CK (0) and Cu (100), the other two stress gradients are positive, and the absolute value of 偽 between Cu (100) and Cu (300) is the smallest, and the absolute value between Cu (300) and Cu (500) is the largest. The correlation between copper content in maize leaves and singular amplitude and fractal dimension was verified by establishing a model for estimating copper content in maize leaves. The difference of Cu content in maize leaves was significant (0.05), and the coefficient of determination was R20.9501. Therefore, the fractal dimension and singularity of high-frequency components of the spectrum can be used to diagnose and quantitatively analyze the copper pollution in maize effectively, which can be used as a reference for heavy metal pollution monitoring of crops.
【作者單位】： 中國(guó)礦業(yè)大學(xué)(北京)地球科學(xué)與測(cè)繪工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(41271436) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(2009QD02)
【分類號(hào)】：S513;X826

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