• Laser & Optoelectronics Progress
  • Vol. 59, Issue 13, 1330002 (2022)
Chunting Li1, Youyou Zhang1, Huazhou Chen1、*, Jie Gu2, Lina Mo3, and Xiaoyu Li1
Author Affiliations
  • 1College of Science, Guilin University of Technology, Guilin 541004, Guangxi , China
  • 2School of Electrical and Information Engineering, Chongqing College of Humanities, Science & Technology, Chongqing 401524, China
  • 3School of Tourism Data, Guilin Tourism University, Guilin 541006, Guangxi , China
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    DOI: 10.3788/LOP202259.1330002 Cite this Article Set citation alerts
    Chunting Li, Youyou Zhang, Huazhou Chen, Jie Gu, Lina Mo, Xiaoyu Li. Near-Infrared Spectral Waveband Selection for Soil Potassium Content Based on Simulated Annealing[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1330002 Copy Citation Text show less
    NIR spectra of 135 soil samples. (a) Raw spectra; (b) spectra obtained after preprocessing
    Fig. 1. NIR spectra of 135 soil samples. (a) Raw spectra; (b) spectra obtained after preprocessing
    RMSEV corresponding to the optimal feature waveband of different models
    Fig. 2. RMSEV corresponding to the optimal feature waveband of different models
    Iterative optimization process of the SA-iPLS model. (a) N=60; (b) N=70; (c) N=80; (d) N=90; (e) N=100
    Fig. 3. Iterative optimization process of the SA-iPLS model. (a) N=60; (b) N=70; (c) N=80; (d) N=90; (e) N=100
    Optimal feature waveband selected by SA-iPLS model (N=90)
    Fig. 4. Optimal feature waveband selected by SA-iPLS model (N=90)
    Prediction results of SA-iPLS for the test samples
    Fig. 5. Prediction results of SA-iPLS for the test samples
    Sample setNumber of samplesMaximumMinimum /%Average /%Standard deviation /%
    Calibration set1150.1920.0530.1080.032
    Test set200.1620.0650.1010.023
    Table 1. Mass fraction of potassium element in the sample set
    ModelNumber of subintervalsNumber of selected subintervalsSelected wavebands /cm-1
    iPLS8018036-7980
    SiPLS7029168-9089,5395-5311
    SA-iPLS9027

    10000-9942,9875-9815,

    9621-9561,9494-9434,

    9430-9371,9112-9053,

    7845-7782,7170-7106,

    6495-6431,6427-6364、

    6360-6296,6292-6229,

    6225-6161,6157-6094,

    6090-6026,6022-5959,

    5955-5891,5887-5824,

    5820-5756,5617-5553,

    5347-5283,5212-5148,

    5144-5081,5077-5013,

    5009-4946,4874-4811,

    4199-4135

    Table 2. Optimal characteristic bands screened by different models
    ModelPLS factorsRMSEVRMSETRT
    PLS190.02720.01400.8506
    iPLS20.02690.01550.7786
    SiPLS170.02600.01450.8420
    SA-iPLS170.02640.01170.8884
    Table 3. Modeling results of different models
    Chunting Li, Youyou Zhang, Huazhou Chen, Jie Gu, Lina Mo, Xiaoyu Li. Near-Infrared Spectral Waveband Selection for Soil Potassium Content Based on Simulated Annealing[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1330002
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