Acta Optica Sinica, Volume. 45, Issue 6, 0628001(2025)

Machine Learning for Hyperspectral Characteristic Band Extraction in Soil Nutrient Analysis

Kai Liu... Yufeng Wang*, Zhiqing Peng, Jingjing Liu, Yuehui Song, Huige Di and Dengxin Hua |Show fewer author(s)
Author Affiliations
  • Centre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
  • show less
    Figures & Tables(13)
    Comparison of before and after atmospheric correction
    Soil reflectance curves at 121 sampling points
    Flowchart of RF-DE-AHP method for extracting soil nutrient characteristic bands
    Schematic diagram of BP inversion model for soil nutrient contents
    Mutual information between soil available potassium and spectral data by RF algorithm
    Spectral band weight distribution of soil available potassium by using differential evolution algorithm
    Weight sorting for soil available potassium by the analytic hierarchy process
    RF-DE-AHP method prediction results. (a) Training set; (b) validation set
    Mathematical transformation method prediction results. (a) Training set; (b) validation set
    RF-DE method prediction results. (a) Training set; (b) validation set
    Evaluation results of the available potassium prediction models. (a) Training set; (b) validation set
    • Table 1. Statistical results of available potassium content in 121 soil samples

      View table

      Table 1. Statistical results of available potassium content in 121 soil samples

      DatasetSample sizeMaximum /(mg/kg)Minimum /(mg/kg)Mean /(mg/kg)Standard deviation
      Total sample121704135298.231103.504
      Training set97620135268.85469.202
      Validation set24704164411.040133.795
    • Table 2. Evaluation results of the available potassium prediction models

      View table

      Table 2. Evaluation results of the available potassium prediction models

      Soil nutrient

      Feature extraction

      method

      PredictionTraining SetValidation Set
      R2RPDRMSE /(mg/kg)R2RPDRMSE /(mg/kg)
      AKMathematical transformationBPNN0.7291.8136.020.5211.13191.05
      RF-DEBPNN0.8112.2030.030.5781.49120.78
      RF-DE-AHPBPNN0.9544.7814.320.8482.2116.71
    Tools

    Get Citation

    Copy Citation Text

    Kai Liu, Yufeng Wang, Zhiqing Peng, Jingjing Liu, Yuehui Song, Huige Di, Dengxin Hua. Machine Learning for Hyperspectral Characteristic Band Extraction in Soil Nutrient Analysis[J]. Acta Optica Sinica, 2025, 45(6): 0628001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 24, 2024

    Accepted: Jul. 11, 2024

    Published Online: Mar. 21, 2025

    The Author Email: Wang Yufeng (wangyufeng@xaut.edu.cn)

    DOI:10.3788/AOS241061

    Topics