• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 11, 3565 (2021)
Hui SHENG1、1;, Hai-xu CHI1、1;, Ming-ming XU1、1; *;, Shan-wei LIU1、1;, Jian-hua WAN1、1;, and Jin-jin WANG2、2;
Author Affiliations
  • 11. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
  • 22. Zhuhai Orbita Aerospace Science & Technology Co., Ltd., Zhuhai 519080, China
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    DOI: 10.3964/j.issn.1000-0593(2021)11-3565-07 Cite this Article
    Hui SHENG, Hai-xu CHI, Ming-ming XU, Shan-wei LIU, Jian-hua WAN, Jin-jin WANG. Inland Water Chemical Oxygen Demand Estimation Based on Improved SVR for Hyperspectral Data[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3565 Copy Citation Text show less
    The maps of Weihe and Xiashan reservoirs
    Fig. 1. The maps of Weihe and Xiashan reservoirs
    Optimization SVR model using SA-PSO
    Fig. 2. Optimization SVR model using SA-PSO
    Measured reflectance spectra (a); and normalized spectra (b)
    Fig. 3. Measured reflectance spectra (a); and normalized spectra (b)
    Pearson’s correlation coefficient (r) between band ratios Rrs(λ2)/Rrs(λ1) and COD in the spectral range of 466~940 nm
    Fig. 4. Pearson’s correlation coefficient (r) between band ratios Rrs(λ2)/Rrs(λ1) and COD in the spectral range of 466~940 nm
    SA-PSO-SVR accuracy evaluation
    Fig. 5. SA-PSO-SVR accuracy evaluation
    Evaluations of predictions using SVR, BP neural network and LR method
    Fig. 6. Evaluations of predictions using SVR, BP neural network and LR method
    Spatial distribution of COD concentration obtained from OHS data
    Fig. 7. Spatial distribution of COD concentration obtained from OHS data
    Hui SHENG, Hai-xu CHI, Ming-ming XU, Shan-wei LIU, Jian-hua WAN, Jin-jin WANG. Inland Water Chemical Oxygen Demand Estimation Based on Improved SVR for Hyperspectral Data[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3565
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