Fig. 1. Diagrams of hyperspectral data and site location of Suzhou. (a) Diagram of station location; (b) February 28, 2015, passage 150; (c) March 18, 2015, passage 179

Fig. 2. Average spectral curves at underlying surface of Suzhou under different haze conditions

Fig. 3. Random sampling spectral curves of haze (red) and non-haze (blue)

Fig. 4. Scatter plots of haze (red) and non-haze (blue) with PCA characteristics

Fig. 5. Schematic of residual learning

Fig. 6. Framework of deep residual network for hyperspectral haze monitoring

Fig. 7. Schematic of internal structure of residual block

Fig. 8. Comparison of performance of CNN and ResNet with different network depths

Fig. 9. Structure analysis of DBN

Fig. 10. Comparison of network performance with large training sampling. (a) Training error; (b) test error

Fig. 11. Experiment results of large training samples of BP, CNN-13 and ResNet-13

Fig. 12. Haze monitoring results of Suzhou on January 26, 2015. (a) Diagram of site location; (b) result of SVM; (c) result of DBN; (d) result of Resnet

Fig. 13. Results of Shanghai haze monitoring on January 4, 2015. (a) Diagram of site location; (b) result of SVM; (c) result of DBN; (d) result of Resnet