Spectroscopy and Spectral Analysis, Volume. 40, Issue 11, 3321(2020)
Inversion of Aerosol Optical Depth in the Beijing-Tianjin-Hebei Region Based on PSO Clustering Algorithm
Figures & Tables(10)
Fig. 2. Fit curve of red-blue band equivalent surface reflectivity
Fig. 6. (a) The birefringence index real part (a) and birefringence index imaginary part (b) of five types of aerosol
Fig. 7. Inversion results and consistency of the aerosol optical depth of GF-4 satellite
(a): Original image; (b): C1 aerosol; (c): C4 aerosol; (d): Continental aerosol;(e): MODIS aerosol products; (f) Analysis of C1 type aerosol inversion results;(g): Analysis of C4 type aerosol inversion result; (h): Analysis of continental aerosol inversion results
Table 1. Parameters of PMI sensor for GF-4 satellite
View tableView in ArticleTable 1. Parameters of PMI sensor for GF-4 satellite
谱段 谱段范围
/μm空间分
辨率/m幅宽
/km重访
时间/s可见光
近红外
(VNIR)1 0.45~0.90 400 20 2 0.45~0.52 3 0.52~0.60 50 4 0.63~0.69 5 0.76~0.90 中波红外
(MWIR)6 3.50~4.10 400
Table 2. Parameters of PSO clustering algorithm
View tableView in ArticleTable 2. Parameters of PSO clustering algorithm
Number of
categories/mMaximum/ Minimum Inertiaweight
(ωmax/ωmin)Learning factors
(c1/c2)Number of
trainings (T)8 0.9/0.4 1.2/1.2 300
Table 3. Comparison of inversion results of different aerosol types with AERONET ground-based data
View tableView in ArticleTable 3. Comparison of inversion results of different aerosol types with AERONET ground-based data
Time AOD Absolute Error AERONET C1 C4 Continental C1 C4 Continental 0825 - 0.616 4 0.910 0 0.710 0 - - - 0904 0.120 0 0.411 0 0.390 0 0.386 0 0.291 0 0.270 0 0.266 0 0909 - 0.230 0 0.360 0 0.330 0 - - - 0923 0.080 0 0.210 0 0.150 0 0.169 0 0.130 0 0.070 0 0.089 0 1001 0.115 2 0.254 0 0.212 0 0.239 0 0.138 8 0.096 8 0.123 8 1003 0.074 1 0.080 0 0.172 0 0.162 0 0.005 9 0.097 9 0.087 9 1004 0.625 1 0.460 0 0.830 0 0.510 0 0.065 1 0.204 9 0.115 1
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Shu-tao WANG, Gui-chuan WANG, Kun-kun FAN, Xing WU, Yu-tian WANG. Inversion of Aerosol Optical Depth in the Beijing-Tianjin-Hebei Region Based on PSO Clustering Algorithm[J]. Spectroscopy and Spectral Analysis, 2020, 40(11): 3321
Paper Information
Category: Research Articles
Received: Nov. 18, 2019
Accepted: --
Published Online: Jun. 18, 2021
The Author Email: WANG Shu-tao (wangshutao@ysu.edu.cn)
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