• Acta Optica Sinica
  • Vol. 45, Issue 6, 0628004 (2025)
Zhongxing Zhao, Songlin Fu*, Junjie Chen, and wei Xie
Author Affiliations
  • College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321000, Zhejiang , China
  • show less
    DOI: 10.3788/AOS241185 Cite this Article Set citation alerts
    Zhongxing Zhao, Songlin Fu, Junjie Chen, wei Xie. Retrieval of Planetary Boundary Layer Height by Remote Sensing Fusion Based on Deep Forest[J]. Acta Optica Sinica, 2025, 45(6): 0628004 Copy Citation Text show less
    Multi-grained scanning process
    Fig. 1. Multi-grained scanning process
    Schematic diagram of cascade forest process
    Fig. 2. Schematic diagram of cascade forest process
    Schematic diagram of improved cascade forest
    Fig. 3. Schematic diagram of improved cascade forest
    Atmospheric boundary layer height results obtained by improved fcForest inversion
    Fig. 4. Atmospheric boundary layer height results obtained by improved fcForest inversion
    Inversion results of atmospheric boundary layer height under clear and cloudless weather
    Fig. 5. Inversion results of atmospheric boundary layer height under clear and cloudless weather
    Inversion results of boundary layer height under cloudy weather
    Fig. 6. Inversion results of boundary layer height under cloudy weather
    Comparison of inverted ABLHs of different methods for clear weather. (a) MPL; (b) DPL; (c) fcForest
    Fig. 7. Comparison of inverted ABLHs of different methods for clear weather. (a) MPL; (b) DPL; (c) fcForest
    Comparison of inverted ABLHs of different methods for cloudy weather. (a) MPL; (b) DPL; (c) fcForest
    Fig. 8. Comparison of inverted ABLHs of different methods for cloudy weather. (a) MPL; (b) DPL; (c) fcForest
    Comparison of inverted ABLHs of different methods during day. (a) MPL; (b) DPL; (c) fcForest
    Fig. 9. Comparison of inverted ABLHs of different methods during day. (a) MPL; (b) DPL; (c) fcForest
    Comparison of inverted ABLHs of different methods at night. (a) MPL; (b) DPL; (c) fcForest
    Fig. 10. Comparison of inverted ABLHs of different methods at night. (a) MPL; (b) DPL; (c) fcForest
    DatasetRRMSE /kmMAE /km
    Fusion remote sensing dataset0.9260.1940.135
    Micropulse lidar dataset0.9060.2170.148
    Doppler lidar dataset0.9100.2130.144
    Table 1. Comparison of experimental results of random forest models using different datasets
    ConditionRRMSE /kmMAE /km
    Original dataset0.9260.1940.135
    Window scale 20.7610.3390.232
    Window scale 40.8640.2590.175
    Window scale 60.8950.2290.154
    Window scale 80.8940.2300.155
    Window scale 100.8900.2330.156
    Table 2. Comparison of multi-grained scanning results and original datasets
    FeatureImportanceChoose
    MPL_10.4007Yes
    MPL_20.0112Yes
    MPL_30.0085Yes
    MPL_40.0078No
    MPL_50.0072No
    MPL_60.0097Yes
    MPL_70.0080No
    MPL_80.0085Yes
    MPL_90.0089Yes
    MPL_100.0095Yes
    DPL0.1653Yes
    Temperature0.0472Yes
    Pressure0.0202Yes
    Speed0.0145Yes
    Humidity0.0815Yes
    Hour0.1913Yes
    Table 3. Feature importance of feature vectors in primitive dataset
    DatasetRRMSE /km
    Original dataset0.9260.194
    Feature screening dataset0.9290.190
    Table 4. Comparison of inversion results of feature screening dataset and original dataset
    MethodRRMSE /kmMAE /km
    Gradient method0.7830.4190.302
    Threshold value method0.8060.3840.226
    Wavelet covariance transform method0.7680.4450.333
    Standard deviation method0.6650.5390.413
    Random forest0.9260.1940.135
    Gradient boosting0.9200.2010.142
    Deep forest0.8910.2340.156
    Feature screening cascade forest0.9350.1820.126
    Table 5. Experimental results of boundary layer height inversion by different methods
    Time5:4111:2317:3023:30
    Sonde446648565366
    MPL10413827422300
    DPL105495375165
    fcForest479723684520
    Table 6. Experimental results of boundary layer height inversion by different methods
    Time5:3711:2717:2923:45
    Sonde386815956474
    MPL2151233018811551
    DPL105585105105
    fcForest491920880504
    Table 7. Atmospheric boundary layer height results at different time
    Zhongxing Zhao, Songlin Fu, Junjie Chen, wei Xie. Retrieval of Planetary Boundary Layer Height by Remote Sensing Fusion Based on Deep Forest[J]. Acta Optica Sinica, 2025, 45(6): 0628004
    Download Citation