Acta Photonica Sinica, Volume. 51, Issue 3, 0301002(2022)
Research on Spot Center Localization Algorithm in Atmospheric Turbulence Environment
Figures & Tables(19)
Fig. 4. Simulate the spot of Gaussian beam passing through the turbulent phase screen of different intensities
Fig. 5. Positioning spacing between four algorithms in different intensity Gaussian noise
Fig. 6. Pixel intensity of spot image mask based on four positioning algorithms under different intensity gaussian noise
Fig. 11. Intensity of the pixels in mask from 10.2 km spot image under different algorithms
Fig. 12. Location distance between 10.2 km spot images based on different algorithms
Fig. 14. Intensity of the pixels in mask from 2.4 km spot image under different algorithms
Fig. 15. Location distance between 2.4 km spot images based on different algorithms
Table 1. Offsets of registration point from standard center under different algorithms/pixel
View tableView in ArticleTable 1. Offsets of registration point from standard center under different algorithms/pixel
Mode adaptive
threshold method
Adaptive
threshold method
Maximization of
interclass
variance method
Iterative method Nonlinear weighted Barycenter algorithm 0.000 969 9 0.006 642 0.002 017 0.002 017 Barycenter algorithm 0.005 225 0.010 74 0.005 002 0.005 002
Table 2. Effect analysis of spot processing
View tableView in ArticleTable 2. Effect analysis of spot processing
2.4 km spot image 10.2 km spot image MSE PSNR MSE PSNR Operation 1 2.915 3 43.484 0 0.159 4 56.105 1 Operation 2 2.897 3 43.510 9 0.142 7 56.586 7
Table 3. Effect analysis of 10.2 km spot processing
View tableView in ArticleTable 3. Effect analysis of 10.2 km spot processing
Step-length L/pixel Pixel intensity/pixel
R=30
Pixel intensity/pixel
R=60
Average value Standard deviation Average value Standard deviation Average value Standard deviation Sliding weighted Barycenter algorithm 22.75 12.78 4.247 105 5.928 104 1.328 105 1.651 105 Nonlinear weighted Barycenter algorithm 25.24 13.50 4.253 105 5.975 104 1.328 105 1.646 105 Barycenter algorithm 24.59 12.71 4.12 105 6.366 104 1.316 105 1.631 105 Centroid algorithm 25.77 12.73 3.96 105 6.662 104 1.291 105 1.627 105
Table 4. Effect analysis of 2.4 km spot processing
View tableView in ArticleTable 4. Effect analysis of 2.4 km spot processing
Step-length L/pixel Pixel intensity/pixel
R=30
Pixel intensity/pixel
R=60
Average value Standard deviation Average value Standard deviation Average value Standard deviation Sliding weighted Barycenter algorithm 57.00 35.99 3.269 106 7.235 105 4.642 106 9.155 105 Nonlinear weighted Barycenter algorithm 63.19 38.98 3.3 106 7.243 105 4.657 106 9.137 105 Barycenter algorithm 60.31 37.56 3.057 106 7.24 105 4.446 106 9.177 105 Centroid algorithm 63.77 36.52 2.807 106 8.012 105 4.212 106 9.93 105
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Pengfei WU, Huiliang WANG, Sichen LEI, Shuai DANG. Research on Spot Center Localization Algorithm in Atmospheric Turbulence Environment[J]. Acta Photonica Sinica, 2022, 51(3): 0301002
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Received: Aug. 14, 2021
Accepted: Oct. 20, 2021
Published Online: Apr. 8, 2022
The Author Email: WU Pengfei (wupengf@xaut.edu.cn)
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