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A Method Based on Wavelet Transform for Mineral Spectral Characteristics Extraction

机译:一种基于小波变换的矿物光谱特性提取方法

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The basic principle of the wavelet analysis method to extract the mineral spectral absorption characteristics is summarized and different wavelet bases, wavelet decomposition scale extraction effect are analyzed in this paper. Then, the algorithm of mineral spectral absorption characteristics based on wavelet spectral analysis is provided and a large number of experiments are carried out using the spectrums of field rock mineral. Experimental result shows that such a method is less affected by original signal noise and depict the parameters of the mineral spectral absorption feature more precise, which is an ideal spectral feature extraction method compared with the traditional mineral spectral absorption feature extraction method.
机译:小波分析方法的基本原理提取了矿物光谱吸收特性,并在本文中分析了小波分解规模提取效果。然后,提供了基于小波谱分析的矿物光谱吸收特性算法,并使用野外岩石矿物的光谱进行大量实验。实验结果表明,这种方法受原始信号噪声影响较小,并描绘了矿物光谱吸收的参数更精确,其是与传统的矿物光谱吸收特征提取方法相比的理想光谱特征提取方法。

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