大气湍流参数对图像退化效果影响的研究
|
摘要
对远处目标进行观测时,大气湍流是影响成像质量的主要因素,使得观测到的目标图像是严重抖动和模糊的。研究几种大气相关参数对图像退化的影响,总结了影响图像退化的主要的大气湍流相关参数,对退化图像的特征进行了分析。采用包含湍流内外尺度影响的波结构函数、折射率谱以及成像系统退化函数的改进的Kolmogorov谱湍流退化模型,该模型引入更完整的先验约束条件,更接近于大气湍流的物理特性。通过该退化模型对大气湍流相关参数进行仿真研究,对图像退化进行理论描述,总结了对图像退化影响的主要的大气相关参数。对进行湍流相关参数的测量和湍流退化图像校正的复原算法的研究具有重要意义。实验结果表明大气相干长度和格林伍德频率是影响图像退化主要的大气湍流相关参数。
When observing distant targets,atmospheric turbulence is the main factor affecting the imaging quality,making the observed target images are severely shaking and fuzzy. In this paper,the effects of several atmospheric parameters on image degradation are studied. The main parameters of atmospheric turbulence affecting image degradation are summarized and the characteristics of the turbulent image are analyzed. The newmodel is derived from the wave structure function and refractive index profiles considering turbulence internal and external scale and thin lens imaging degradation function. Compared with the model derived from Kolmogorov spectrum,more complete transcendent constraints is introduced in the new model,and the model is more similar to the physical characteristics of atmospheric turbulence.The degradation model is used to simulate the atmospheric turbulence related parameters,the image degradation is theoretically described,and the main atmospheric parameters of image degradation are summarized. It is of great significance for the study of the recuperation algorithm of further turbulence correlation parameters and the image correction of turbulence degradation. The results of the experiment show that the atmospheric coherent length and greenwood frequency are the main parameters of atmospheric turbulence affecting image degradation.
When observing distant targets,atmospheric turbulence is the main factor affecting the imaging quality,making the observed target images are severely shaking and fuzzy. In this paper,the effects of several atmospheric parameters on image degradation are studied. The main parameters of atmospheric turbulence affecting image degradation are summarized and the characteristics of the turbulent image are analyzed. The newmodel is derived from the wave structure function and refractive index profiles considering turbulence internal and external scale and thin lens imaging degradation function. Compared with the model derived from Kolmogorov spectrum,more complete transcendent constraints is introduced in the new model,and the model is more similar to the physical characteristics of atmospheric turbulence.The degradation model is used to simulate the atmospheric turbulence related parameters,the image degradation is theoretically described,and the main atmospheric parameters of image degradation are summarized. It is of great significance for the study of the recuperation algorithm of further turbulence correlation parameters and the image correction of turbulence degradation. The results of the experiment show that the atmospheric coherent length and greenwood frequency are the main parameters of atmospheric turbulence affecting image degradation.
引文
[1]任斌,陈纯毅,杨华民.大气湍流光波传输数值仿真技术研究综述[J].系统仿真学报,2017,29(8):1631-1640.
[2]饶瑞中.现代大气光学[M].北京:科学出版社,2012:368-414.
[3]William P,Burckel,Ryan N Gray.Turbulence phase screens based on polar-logarithmic spectral sampling[J].Applied Optics(S1559-128X),2013,52(19):4672-4680.
[4]荣健,申金娥,丁学科,等.采用改进的退化模型恢复湍流降质图像[J].电子科技大学学报,2008,37(6):890-950.
[5]李龙龙,刘智,张广栋,等.高斯激光束大气湍流传输的建模与仿真[J].长春理工大学学报:自然科学版,2017,40(3):67-70.
[6]郭慧超,孙华燕,吴建华.大气湍流效应对激光传输影响的仿真研究[J].装配学院学报,2014,25(1):116-119.
[7]李波,王挺峰,王弟男,等.激光大气传输湍流扰动仿真技术[J].中国光学,2012,5(3):289-295.
[8]TIAN Y Z,GUO J,WANG R,et al.Mathematical model analysis of Gaussian beam propagation an arbitrary thickness random phase screen[J].Opt.Express,2011,19(19):18126-18228.
[9]陈浩.大气湍流中光波前的时空特性探测研究[D].长春:中国科学院长春光学精密机械与物理研究所,2012.
[10]温昌礼,徐蓉,门涛,等.基于大气相干长度的湍流模糊图像复原[J].光学学报,2014,34(3):1-8.
[11]李庆菲.大气湍流退化的图像复原研究[D].合肥:合肥工业大学,2010.
[12]洪汉玉.红外探测湍流退化图像并行复原方法研究[J].红外技术,2009,31(1):57-60.
[2]饶瑞中.现代大气光学[M].北京:科学出版社,2012:368-414.
[3]William P,Burckel,Ryan N Gray.Turbulence phase screens based on polar-logarithmic spectral sampling[J].Applied Optics(S1559-128X),2013,52(19):4672-4680.
[4]荣健,申金娥,丁学科,等.采用改进的退化模型恢复湍流降质图像[J].电子科技大学学报,2008,37(6):890-950.
[5]李龙龙,刘智,张广栋,等.高斯激光束大气湍流传输的建模与仿真[J].长春理工大学学报:自然科学版,2017,40(3):67-70.
[6]郭慧超,孙华燕,吴建华.大气湍流效应对激光传输影响的仿真研究[J].装配学院学报,2014,25(1):116-119.
[7]李波,王挺峰,王弟男,等.激光大气传输湍流扰动仿真技术[J].中国光学,2012,5(3):289-295.
[8]TIAN Y Z,GUO J,WANG R,et al.Mathematical model analysis of Gaussian beam propagation an arbitrary thickness random phase screen[J].Opt.Express,2011,19(19):18126-18228.
[9]陈浩.大气湍流中光波前的时空特性探测研究[D].长春:中国科学院长春光学精密机械与物理研究所,2012.
[10]温昌礼,徐蓉,门涛,等.基于大气相干长度的湍流模糊图像复原[J].光学学报,2014,34(3):1-8.
[11]李庆菲.大气湍流退化的图像复原研究[D].合肥:合肥工业大学,2010.
[12]洪汉玉.红外探测湍流退化图像并行复原方法研究[J].红外技术,2009,31(1):57-60.