小波分析在矿物光谱吸收特征提取中的应用研究

The Application of Wavelet Transform in the Extraction of Mineral Spectral Absorption Characteristics

概述了小波分析方法提取矿物光谱吸收特征的基本原理,分析了不同小波基及小波分解尺度对提取效果的影响,提出了基于小波分析提取矿物光谱吸收特征的方法,并使用野外实测的岩石矿物光谱进行了实验。实验结果表明,较之传统的矿物光谱吸收特征提取方法,该方法受原始信号的噪声影响小,对矿物光谱吸收特征中心波长、起止位置等参数的提取更加精确,是一种比较理想的光谱特征提取方法。

The basic principle of using wavelet analysis method to extract mineral spectral absorption characteristics was summarized at first and different wavelet bases, wavelet decomposition scale extrac- tion effect was analyzed in this paper. Then, the algorithm of mineral spectral absorption characteristics based on wavelet spectral analysis was provided and a large number of experiments were carried out to the spectra of field rock mineral. Experimental result shew that wavelet method was less affected by original signal noise and could more precisely depict the parameters of spectral absorption feature, therefore wavelet analysis is more adaptive than the traditional differentiate method in spectral feature extraction.