基于子孔径波面拼接的直接波前解卷积效率
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摘要
为提高气动光学效应下目标图像清晰化处理的运行效率,提出了子孔径拼接波前复原方法。分析了波面拼接下的直接波前解卷积效果,研究了波面拼接与传统泽尼克模式法在运行效率上的差异。仿真结果表明:子孔径拼接方法具有良好的波前复原能力,与泽尼克模式法相比具有更低的算法复杂度。基于子孔径波前拼接的直接波前解卷积方法可有效提高点源图像探测的斯特列尔比(Strel ratio),可应用于高超声速飞行器的红外寻的系统中,抑制气动光学相位畸变的影响,增强目标探测、识别和跟踪性能。
To improve the efficiency of target image processing under the aero-optical effect, the wavefront reconstruction method using aperture wavefront splicing is proposed. This paper analyzes the effect of direct wavefront deconvolution based on wave surface splicing, and compares the difference of operation efficiency between subaperture wavefront splicing and the Zernike model method. The simulation results show that the subaperture wavefront splicing method has the excellent wavefront recovery ability, and its algorithm complexity is much lower than that of the Zernike model method. Furthermore, the direct wavefront deconvolution based on subaperture wavefront splicing can effectively improve the Strel ratio of the point source image. Therefore, this method can be applied in the infrared seeker of the hypersonic vehicle to suppress the influence of aerodynamic optical phase distortion and to enhance the performance of target detection, recognition and tracking.
To improve the efficiency of target image processing under the aero-optical effect, the wavefront reconstruction method using aperture wavefront splicing is proposed. This paper analyzes the effect of direct wavefront deconvolution based on wave surface splicing, and compares the difference of operation efficiency between subaperture wavefront splicing and the Zernike model method. The simulation results show that the subaperture wavefront splicing method has the excellent wavefront recovery ability, and its algorithm complexity is much lower than that of the Zernike model method. Furthermore, the direct wavefront deconvolution based on subaperture wavefront splicing can effectively improve the Strel ratio of the point source image. Therefore, this method can be applied in the infrared seeker of the hypersonic vehicle to suppress the influence of aerodynamic optical phase distortion and to enhance the performance of target detection, recognition and tracking.
引文
[1] 朱杨柱, 易仕和, 陈植, 等. 带喷流超声速光学头罩流场气动光学畸变试验研究[J]. 物理学报, 2013, 62(8): 267-274.
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[4] AGUIRRE R, NATHMAN J, GARCIA P, et al. Imaging of turbulent refractive interfaces and optical wavefronts in aero-optics[C]//36th AIAA Plasmadynamics and Lasers Conference. Toronto, Ontario, Canada. 2005:51-55.
[5] 费锦东. 高速导弹红外成像末制导对气动光学效应技术研究的需求[J]. 红外与激光工程, 1998, 2 (1): 42-43.
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[7] 李桂春. 气动光学[M]. 北京:国防工业出版社, 2006.
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[9] 谢文科, 马浩统, 高穹,等. 气动光学自适应校正研究进展[J]. 激光与光电子学进展, 2014, 51(9): 5-22.
[10] 丁浩林, 易仕和, 吴宇阳, 等. 基于BOS技术的气动光学流场传输效应成像偏移校正方法研究[J]. 红外与激光工程, 2018,47(4):206-213.
[11] BRENNAN T, WITTICH D. Statistical analysis of airborne aero-optical laboratory optical wavefront measurements[J], Optical Engineering, 2013, 52(7): 071416.
[12] GAO Q, JIANG Z, YI S. Modeling the temporal evolution of an aero-optical aberration with the minimum description length principle[J]. Optic Letter, 2014, 39(11): 3126-3129.
[13] 谢文科. 气动光学畸变波前测量及控制方法[D]. 长沙:国防科学技术大学, 2007.
[14] 张天序,洪汉玉,张新宇. 气动光学效应校正:原理、方法与应用[M]. 合肥:中国科学技术大学出版社, 2014.
[15] 饶长辉, 张学军, 姜文汉. 基于哈特曼夏克波前探测的图像解卷积:室内结果[J]. 光学学报, 2002,22(7): 789-793.
[16] 姜文汉. 自适应光学技术[J].自然杂志, 2006, 28(1): 7-13.
[17] 田雨. 波前解卷积及自适应光学图像事后处理技术研究[D]. 成都:中国科学院光电技术研究所, 2009.
[2] 韩炜, 赵跃进, 胡新奇, 等. 超高声速飞行器光学窗口气动光学效应分析[J]. 光学技术, 2010, 36(4): 622-626.
[3] AGUIRRE R, NATHMAN J, GARCIA P, et al. Turbulent refractive fluid interfaces and aero-optical wavefront distortions: experiments and computations [C]//43rd AIAA Aerospace Sciences Meeting and Exhibit. 2005:78-81.
[4] AGUIRRE R, NATHMAN J, GARCIA P, et al. Imaging of turbulent refractive interfaces and optical wavefronts in aero-optics[C]//36th AIAA Plasmadynamics and Lasers Conference. Toronto, Ontario, Canada. 2005:51-55.
[5] 费锦东. 高速导弹红外成像末制导对气动光学效应技术研究的需求[J]. 红外与激光工程, 1998, 2 (1): 42-43.
[6] 殷兴良. 气动光学原理[M]. 北京:中国宇航出版社, 2003.
[7] 李桂春. 气动光学[M]. 北京:国防工业出版社, 2006.
[8] ABADO S, GORDEYEV S, JUMPER E. Adaptive-optic system requirements to mitigate aero-optical aberrations as a function of viewing angle[J]. Optical Engineering, 2014, 53(10): 103.
[9] 谢文科, 马浩统, 高穹,等. 气动光学自适应校正研究进展[J]. 激光与光电子学进展, 2014, 51(9): 5-22.
[10] 丁浩林, 易仕和, 吴宇阳, 等. 基于BOS技术的气动光学流场传输效应成像偏移校正方法研究[J]. 红外与激光工程, 2018,47(4):206-213.
[11] BRENNAN T, WITTICH D. Statistical analysis of airborne aero-optical laboratory optical wavefront measurements[J], Optical Engineering, 2013, 52(7): 071416.
[12] GAO Q, JIANG Z, YI S. Modeling the temporal evolution of an aero-optical aberration with the minimum description length principle[J]. Optic Letter, 2014, 39(11): 3126-3129.
[13] 谢文科. 气动光学畸变波前测量及控制方法[D]. 长沙:国防科学技术大学, 2007.
[14] 张天序,洪汉玉,张新宇. 气动光学效应校正:原理、方法与应用[M]. 合肥:中国科学技术大学出版社, 2014.
[15] 饶长辉, 张学军, 姜文汉. 基于哈特曼夏克波前探测的图像解卷积:室内结果[J]. 光学学报, 2002,22(7): 789-793.
[16] 姜文汉. 自适应光学技术[J].自然杂志, 2006, 28(1): 7-13.
[17] 田雨. 波前解卷积及自适应光学图像事后处理技术研究[D]. 成都:中国科学院光电技术研究所, 2009.