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Analysis of the fractal characteristic of the hyperspectral curves of the rice under plumbum pollution stress

机译:铅污染胁迫下水稻高光谱曲线的分形特征分析

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Based on previous spectral parameters to describe the “large scale change” of the spectral curve proposed by remote sensing scholars, the objective of this paper was to propose the method of describing subtle change in hyperspectral curve for rice under plumbum (Pb) pollution stress by using fractal dimension (D), which was calculated by wavelet transform. For pollution-free rice and rice under Pb pollution respectively, the D of hyperspectral curves (450 nm∼700 nm) and second derivative curves were calculated at the tillering stage and the heading stage. Results showed that the D of two curves of the rice under Pb pollution all decreased, compared with those of the pollution-free rice. Meanwhile, it comes to conclusion that it is the best stage to monitor the rice under Pb pollution at the tillering stage. Finally, Least Squares Regression is applied to establish the relationship between the D of second derivative curves and chlorophyll concentration of the rice under Pb pollution at the tillering stage, with high prediction accuracy.
机译:基于以前的光谱参数描述遥感学者提出的光谱曲线的“大范围变化”,本文的目的是提出一种利用铅(Pb)污染胁迫描述水稻高光谱曲线微妙变化的方法。使用小波变换计算的分形维数(D)。对于无公害水稻和铅污染水稻,分别在分stage期和抽穗期计算出高光谱曲线(450 nm〜700 nm)的D和二阶导数曲线。结果表明,与无公害水稻相比,铅污染水稻的两条曲线的D均降低。同时得出结论,分er期是监测铅污染大米的最佳阶段。最后,应用最小二乘回归建立分b期水稻在铅分pollution下的二阶导数曲线的D与叶绿素浓度之间的关系,具有较高的预测精度。

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