Acta Optica Sinica, Volume. 45, Issue 12, 1201009(2025)

Chromaticity Angle‑Assisted Remote Sensing Inversion Method for Shallow Water Depth

Jinhui Shi1, Bingyi Liu1、*, Peizhi Zhu1, Qi Zhou1, Qiuyue Xu1, and Yan He2,3,4
Author Affiliations
  • 1College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong , China
  • 2Aerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 3Wangzhijiang Innovation Center for Laser, Shanghai 201800, China
  • 4Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(13)
    CIE 1931 chromaticity diagram
    Remote sensing image of study area
    Distributions of water depth samples. (a) Distribution range of water depth; (b) distribution range of standard deviation
    Monthly cloud coverage of study area
    Scatter plots of models. (a) RF; (b) CARF; (c) XGB; (d) CAXGB; (e) SVR; (f) CASVR; (g) Lyzenga; (h) Stumpf
    Residual distributions of models. (a) RF; (b) CARF; (c) XGB; (d) CAXGB; (e) SVR; (f) CASVR; (g) Lyzenga; (h) Stumpf
    Proportion of error distributions for models
    Bathymetric map based on CAXGB model
    Depth profile analysis. (a) Location map of profile line; (b) comparison between inverted profile and the measured profile; (c) accuracy evaluation plot
    SHAP response diagram for CARF model
    • Table 1. Parameterization of models

      View table

      Table 1. Parameterization of models

      ModelParameter setting
      RFn_estimators is 165, max_depth is 15, max_features is ’sqrt’, min_samples_leaf is 2, min_samples_split is 3, bootstrap is True
      XGBn_estimators is 181, learning_rate is 0.067, max_depth is 11, gamma is 0.098, subsample is 0.7
      SVRkernel is’rbf’, penalty parameter C is 15, gamma is 0.025, epsilon is 0.15
      Lyzengaa0=1.233, a1=10.681, a2=-11.804, a3=-0.105
      Stumpfm0=-51.942, m1=57.117
    • Table 2. Overall accuracy comparisons of models

      View table

      Table 2. Overall accuracy comparisons of models

      ModelRMSE /mMAE /mMRE /%
      RF1.300.9813.93
      CARF1.130.8411.79
      XGB1.190.8711.93
      CAXGB1.110.8111.05
      SVR1.320.9815.26
      CASVR1.220.9114.15
      Lyzenga1.421.0437.20
      Stumpf1.491.1338.63
    • Table 3. Comparisons of model accuracy in different water depth ranges

      View table

      Table 3. Comparisons of model accuracy in different water depth ranges

      Model(0, 5] m(5, 10] m(10, 15] m(15, 25] m
      RMSE /mMAE /mRMSE /mMAE /mRMSE /mMAE /mRMSE /mMAE /m
      RF0.930.661.150.891.260.951.711.38
      CARF0.770.540.980.741.140.871.471.16
      XGB0.670.471.010.741.230.941.591.22
      CAXGB0.670.460.940.691.150.881.451.12
      SVR0.930.641.110.851.280.991.801.38
      CASVR0.890.621.050.801.230.951.561.22
      Lyzenga1.340.831.070.811.311.011.911.51
      Stumpf1.280.921.060.831.411.112.061.64
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    Jinhui Shi, Bingyi Liu, Peizhi Zhu, Qi Zhou, Qiuyue Xu, Yan He. Chromaticity Angle‑Assisted Remote Sensing Inversion Method for Shallow Water Depth[J]. Acta Optica Sinica, 2025, 45(12): 1201009

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Nov. 11, 2024

    Accepted: Feb. 17, 2025

    Published Online: Jun. 23, 2025

    The Author Email: Bingyi Liu (liubingyi@ouc.edu.cn)

    DOI:10.3788/AOS241738

    CSTR:32393.14.AOS241738

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