• Infrared and Laser Engineering
  • Vol. 49, Issue 8, 20190535 (2020)
Yue Zhang1, Yun Su1, Peng Gao2, Xu Wang3, Shikui Dong2, Xuemin Zhang1, and Hao Zhao1
Author Affiliations
  • 1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • 2Harbin Institute of Technology, Harbin 150001, China
  • 3Institute of Fluid Physics, Mianyang 621000, China
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    DOI: 10.3788/IRLA20190535 Cite this Article
    Yue Zhang, Yun Su, Peng Gao, Xu Wang, Shikui Dong, Xuemin Zhang, Hao Zhao. Visual monitoring method for atmospheric disturbance of moving objects[J]. Infrared and Laser Engineering, 2020, 49(8): 20190535 Copy Citation Text show less
    Schematic diagram of wavefront distortion generated by a plane wave passing through turbulent flow field
    Fig. 1. Schematic diagram of wavefront distortion generated by a plane wave passing through turbulent flow field
    Composition of method for optical transmission in atmospheric disturbance
    Fig. 2. Composition of method for optical transmission in atmospheric disturbance
    Simulation result of deflection characteristics of ground light with different optical wavelength passing through the same atmospheric disturbance area
    Fig. 3. Simulation result of deflection characteristics of ground light with different optical wavelength passing through the same atmospheric disturbance area
    Schematic diagram of background oriented schlieren
    Fig. 4. Schematic diagram of background oriented schlieren
    Relationship between target flight altitude and performance of monitoring system in different monitoring heights
    Fig. 5. Relationship between target flight altitude and performance of monitoring system in different monitoring heights
    Relationship between image processing capability and performance of monitoring system with different detector pixel sizes
    Fig. 6. Relationship between image processing capability and performance of monitoring system with different detector pixel sizes
    Relationship between focal length and performance of monitoring system with different recognition ability in image surface displacement
    Fig. 7. Relationship between focal length and performance of monitoring system with different recognition ability in image surface displacement
    Composition of method for high-precision disturbance monitoring
    Fig. 8. Composition of method for high-precision disturbance monitoring
    Schematic diagram of integral pixel search
    Fig. 9. Schematic diagram of integral pixel search
    Speckle pattern in Gaussian distribution got by numerical simulation
    Fig. 10. Speckle pattern in Gaussian distribution got by numerical simulation
    Given displacement in X direction u0=0.01 and given displacement in Y direction ν0=0.01
    Fig. 11. Given displacement in X direction u0=0.01 and given displacement in Y direction ν0=0.01
    u0ν0u0 result(μ±3σ) ν0 result(μ±3σ)
    0.010.010.01±1.2×10−50.01±1.23×10−5
    Table 1.

    Calculation results for different pixel displacement (Unit: pixel)

    各像素不同位移计算结果(单位:pixel)

    Yue Zhang, Yun Su, Peng Gao, Xu Wang, Shikui Dong, Xuemin Zhang, Hao Zhao. Visual monitoring method for atmospheric disturbance of moving objects[J]. Infrared and Laser Engineering, 2020, 49(8): 20190535
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