Qing Chen, Bin Tang, Junfeng Miao, Yan Zhou, Zourong Long, Jinfu Zhang, Jianxu Wang, Mi Zhou, Binqiang Ye, Mingfu Zhao, Nianbing Zhong. Water Sample Classification and Fluorescence Component Identification Based on Fluorescence Spectrum[J]. Acta Optica Sinica, 2023, 43(6): 0630001
- Acta Optica Sinica
- Vol. 43, Issue 6, 0630001 (2023)
Fig. 1. Overall flow of PARAFAC method
Fig. 2. CNN fast classification and recognition model
Fig. 3. 3D-EEM classification network based on MobileNetV2
Fig. 4. 3D-EEM fitting network based on CF-VGG11. (a) Structural diagram of single-layer CF-VGG11 network; (b) structural diagram of whole fitting network
Fig. 5. Analysis process of PARAFAC method
Fig. 6. Analysis results of DB obtained by PAFARAC. (a) Component maps; (b) results of split half verification corresponding to loading component maps
Fig. 7. PARAFAC result of 3D-EEM spectrum and fitting component map obtained by CNN model. (a) WS water sample; (b) XCYY water sample
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Table 1. Water sample collection
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Table 2. Spectral characteristics of EEM seen from comparison results of PARAFAC components and OpenFluor database
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Table 3. Results of model training
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Table 4. Comparison between PARAFAC method and proposed model
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