High-Precision Atmospheric Disturbance Detection Method for Moving Objects

$High precision detection results of atmospheric disturbance using background schlieren image. (a) Gradient of refractive index in x direction; (b) gradient of refractive index in y direction$

Fig. 8. High precision detection results of atmospheric disturbance using background schlieren image. (a) Gradient of refractive index in x direction; (b) gradient of refractive index in y direction

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Table 1. Calculation results for different displacementunit: pixel
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Table 1. Calculation results for different displacementunit: pixel
p₀ q₀ p₀error(μ±3σ) q₀ error(μ±3σ)
0.01 0 0.01±1.04×10^-5 0±3.6×10^-6
0.01 0.01 0.01±1.2×10^-5 0.01±1.23×10^-5

Table 2. Detection errors of different SNRs when moving 1/3 pixel
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Table 2. Detection errors of different SNRs when moving 1/3 pixel
SNR /dB 10 20 30 40 48 50 60
Detection error /pixel 1.9197 0.3635 0.1276 0.0397 0.0144 0.0139 0.0049

Table 3. Detection errors of different SNRs when moving 1/30 pixel
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Table 3. Detection errors of different SNRs when moving 1/30 pixel
SNR /dB 10 20 30 40 50 59 60
Detection error /pixel 2.0389 0.4135 0.1210 0.0438 0.0193 0.0143 0.0139

Table 4. Parameters used in the experiment

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Table 4. Parameters used in the experiment

Experimental condition	Parameter
Target	high pressure airflow
Background	speckle
Size of air flow outlet /mm	12
Outlet air velocity /Ma	0.9
Imaging distance	distance between flow field center and background 0.2 mdistance between image plane center and background 5.8 m
Imaging device	1360×1024; 6.45 μm

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Yue Zhang, Xu Wang, Yun Su, Xuemin Zhang, Zhiqiang Wu, Hao Zhao, Hongyan Deng. High-Precision Atmospheric Disturbance Detection Method for Moving Objects[J]. Acta Optica Sinica, 2021, 41(2): 0228002

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