Opt Express. 2023 Jun 19;31(13):22233-22249. doi: 10.1364/OE.491895.
The extraction of pigment characteristic spectra from the phytoplankton absorption spectrum has high application value in phytoplankton identification and classification and in quantitative extraction of pigment concentrations. Derivative analysis, which has been widely used in this field, is easily interfered with by noisy signals and the selection of the derivative step, resulting in the loss and distortion of the pigment characteristic spectra. In this study, a method based on the one-dimensional discrete wavelet transform (DWT) was proposed to extract the pigment characteristic spectra of phytoplankton. DWT and derivative analysis were applied simultaneously to the phytoplankton absorption spectra of 6 phyla (Dinophyta, Bacillariophyta, Haptophyta, Chlorophyta, Cyanophyta, and Prochlorophyta) to verify the effectiveness of DWT in the extraction of pigment characteristic spectra.
从浮游植物吸收光谱中提取色素特征谱在浮游植物鉴定和分类以及色素浓度定量提取方面具有很高的应用价值。导数分析在该领域得到了广泛的应用，但容易受到噪声信号和导数阶数选择的干扰，导致色素特征谱的丢失和变形。本研究提出了一种基于一维离散小波变换（DWT）的方法，用于提取浮游植物的色素特征谱。将 DWT 和导数分析同时应用于 6 个门（甲藻、硅藻、金藻、绿藻、蓝藻和原绿藻）的浮游植物吸收光谱，以验证 DWT 在色素特征谱提取中的有效性。
