• Acta Optica Sinica
  • Vol. 39, Issue 2, 0228003 (2019)
Zipeng Zhang1、2、3、*, Jianli Ding1、2、3、*, and Jingzhe Wang1、2、3
Author Affiliations
  • 1 College of Resources & Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China;
  • 2 Oasis Ecology Key Laboratory of Ministry of Education, Xinjiang University, Urumqi, Xinjiang 830046, China
  • 3 Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, Xinjiang 830046, China
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    DOI: 10.3788/AOS201939.0228003 Cite this Article Set citation alerts
    Zipeng Zhang, Jianli Ding, Jingzhe Wang. Spectral Characteristics of Oasis Soil in Arid Area Based on Harmonic Analysis Algorithm[J]. Acta Optica Sinica, 2019, 39(2): 0228003 Copy Citation Text show less
    Research area sampling chart
    Fig. 1. Research area sampling chart
    Flow chart of SOM content estimation
    Fig. 2. Flow chart of SOM content estimation
    Correlation curves of original spectrum, FD spectrum and SOM content
    Fig. 3. Correlation curves of original spectrum, FD spectrum and SOM content
    Correlation coefficient diagrams of harmonic component and SOM content at different HA times. (a)(e)(i)(m) Correlation coefficient of At and SOM content; (b)(f)(j)(n) correlation coefficient of Bt and SOM content; (c)(g)(k)(o) correlation coefficient of Ct and SOM content; (d)(h)(l)(p) correlation coefficient of φt and SOM content
    Fig. 4. Correlation coefficient diagrams of harmonic component and SOM content at different HA times. (a)(e)(i)(m) Correlation coefficient of At and SOM content; (b)(f)(j)(n) correlation coefficient of Bt and SOM content; (c)(g)(k)(o) correlation coefficient of Ct and SOM content; (d)(h)(l)(p) correlation coefficient of φt and SOM content
    Technology roadmap of GA-BP neural network
    Fig. 5. Technology roadmap of GA-BP neural network
    Changing curve of optimal individual fitness
    Fig. 6. Changing curve of optimal individual fitness
    Measured and estimated SOM content for different models. (a) MLR model; (b) BP model; (c) GA-BP model
    Fig. 7. Measured and estimated SOM content for different models. (a) MLR model; (b) BP model; (c) GA-BP model
    Type of samplesNumber of sampleSOM content (mass fraction) /10-3Standard deviation /10-3Coefficient of variation /%
    MinimumMaximumMean
    Whole set1012.3218.0610.943.4531.51
    Calibration set713.6818.0610.913.4531.61
    Validation set302.3216.4511.043.5131.79
    Table 1. Statistical characteristics of SOM content
    Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
    5000.577-0.541
    10000.577-0.541
    15000.577-0.541
    20000.577,1993-0.541,1999
    25000.577,1993,2007-0.541,1999,2001
    30000.577,1993,2007-0.541,1999,2001
    35000.577,1993,2007-0.541,1999,2001
    40000.577,1993,2007,3993-0.541,1999,2001,3999
    Table 2. Statistical characteristics of correlation coefficients between At and SOM content at different HA times
    Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
    5000.5421-0.514
    10000.5421-0.514
    15000.5421-0.514
    20000.5421-0.511979
    25000.5421,2021-0.511979
    30000.5421,2021-0.511979
    35000.5421,2021-0.511979
    40000.5421,2021-0.511979,3979
    Table 3. Statistical characteristics of correlation coefficient between Bt and SOM content at different HA times
    Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
    5000.471-0.566
    10000.471-0.566
    15000.471-0.566
    20000.471,1999-0.566,1994
    25000.471,1999,2001-0.566,1994,2006
    30000.471,1999,2001-0.566,1994,2006
    35000.471,1999,2001-0.566,1994,2006
    40000.471,1999,2001,3999-0.566,1994,2006,3994
    Table 4. Statistical characteristics of correlation coefficient between Ct and SOM content at different HA times
    Harmonic decomposition timesMaximum positive correlation coefficientHarmonic characteristic componentMaximum negative correlation coefficientHarmonic characteristic component
    5000.3068-0.3020
    10000.3068-0.32532
    15000.3068-0.32532
    20000.321468-0.32532
    25000.321468-0.32532
    30000.321468-0.32532,2532
    35000.321468,3468-0.32532,2532
    40000.321468,3468-0.32532,2532
    Table 5. Statistical characteristics of correlation coefficient between φt and SOM content at different HA times
    Principle componentCharacteristic valueVariance contribution /%Accumulative contribution /%
    PCA116.3377.8077.80
    PCA21.456.9184.71
    PCA31.095.1989.90
    PCA40.914.3494.24
    PCA50.522.5896.82
    PCA60.261.4398.25
    PCA70.160.8899.13
    PCA21-3.13×10-16-1.49×10-15100
    Table 6. Characteristic value of PCA and variance contribution rate
    Validation modelR2RMSEP /10-3RPD
    MLR0.774.761.59
    BP0.874.071.85
    GA-BP0.923.921.93
    Table 7. Accuracy statistical results of different estimate models
    Zipeng Zhang, Jianli Ding, Jingzhe Wang. Spectral Characteristics of Oasis Soil in Arid Area Based on Harmonic Analysis Algorithm[J]. Acta Optica Sinica, 2019, 39(2): 0228003
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