• Acta Optica Sinica
  • Vol. 37, Issue 10, 1028001 (2017)
Xueqin Jiang1, Qin Ye1、*, Yi Lin1, and Xican Li2
Author Affiliations
  • 1 College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
  • 2 College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018, China
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    DOI: 10.3788/AOS201737.1028001 Cite this Article Set citation alerts
    Xueqin Jiang, Qin Ye, Yi Lin, Xican Li. Inverting Study on Soil Water Content Based on Harmonic Analysis and Hyperspectral Remote Sensing[J]. Acta Optica Sinica, 2017, 37(10): 1028001 Copy Citation Text show less
    The area of collecting soil samples
    Fig. 1. The area of collecting soil samples
    OS reflectance of soil water content
    Fig. 2. OS reflectance of soil water content
    Spectral curves (a) before and (b) after wavelet packet denoising
    Fig. 3. Spectral curves (a) before and (b) after wavelet packet denoising
    Inversion flow chart of soil water content
    Fig. 4. Inversion flow chart of soil water content
    Coefficients between different data and soil water contents
    Fig. 5. Coefficients between different data and soil water contents
    Correlation coefficient between different energy spectrum characteristic parameters and soil water contents
    Fig. 6. Correlation coefficient between different energy spectrum characteristic parameters and soil water contents
    Comparison of measured and inversed values of soil water content
    Fig. 7. Comparison of measured and inversed values of soil water content
    Relative error of measured and inversed values of soil water content
    Fig. 8. Relative error of measured and inversed values of soil water content
    Principal componentCharacteristic value /10-7Variance contribution /%Accumulative contribution /%
    PCA193.8275.83575.835
    PCA26.9535.62081.455
    PCA34.8513.92185.377
    PCA43.2602.63588.012
    PCA52.5102.02590.037
    Table 1. PCA characteristic values and variance contributions of FD data
    Principal componentCharacteristic value /10-8Variance contribution /%Accumulative contribution /%
    PCA1931.488.54988.549
    PCA241.403.93692.485
    PCA318.551.76494.249
    PCA410.250.97495.223
    PCA59.0710.86296.085
    Table 2. PCA characteristic values and variance contributions of WPT-FD data
    Principal componentCharacteristic valueVariance contribution /%Accumulative contribution /%
    PCA10.081193.90093.900
    PCA24.712×10-84.20198.101
    PCA31.342×10-90.65698.757
    PCA41.623×10-100.15498.911
    PCA51.356×10-100.10299.013
    PCA 111.373×10-111.693×10-8100.000
    Table 3. PCA characteristic values and variance contributions of harmonic component
    Inversion modelRR2ERMS
    FD-PCA-BP0.92590.85733.0490
    WPT-FD-PCA-BP0.95000.90252.3648
    WPT-FD-HA-PCA-BP0.97980.95991.6670
    Table 4. Comparison of the accuracy of different inversion models
    Xueqin Jiang, Qin Ye, Yi Lin, Xican Li. Inverting Study on Soil Water Content Based on Harmonic Analysis and Hyperspectral Remote Sensing[J]. Acta Optica Sinica, 2017, 37(10): 1028001
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