基于特征匹配的相关哈特曼波前探测仿真分析  

Simulation Analysis of Correlating Hartman Wavefront Detection Based on Feature Matching

作　　者：温淋雄 谭毅 杨平[1,2] 赵旺 Wen Linxiong;Tan Yi;Yang Ping;Zhao Wang(National Laboratory on Adaptive Optics,Chengdu 610209,Sichuan,China;Institute of Optoelectronic Technology,Chinese Academy of Sciences,Chengdu 610209,Sichuan,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]自适应光学全国重点实验室,四川成都610209 [2]中国科学院光电技术研究所,四川成都610209 [3]中国科学院大学,北京100049

出　　处：《中国激光》2024年第22期185-196,共12页Chinese Journal of Lasers

摘　　要：在自适应光学技术中,针对扩展目标的哈特曼波前探测常采用互相关函数估计峰值,得到子孔径偏移量,进而复原待测波前相位。探测器采集时,受到扩展目标本身的运动状态实时变化和大气湍流的影响,在边缘子孔径常出现闪烁现象,导致子孔径图像部分缺失,探测精度下降。在子孔径图像部分缺失的情形下,建立扩展目标相关哈特曼波前探测数值模型,定量描述扩展目标的扩展度,分析子孔径图像缺失程度对斜率提取和相关哈特曼波前探测精度的影响,对此提出了一种基于加速鲁棒特征(SURF)的特征匹配预处理的探测方法,仿真结果表明由合理的扩展目标子孔径图像部分缺失引起的斜率提取误差降低了66%,波前复原残差峰谷(PV)值、均方根(RMS)值均有所减小,自适应光学波前探测精度明显提高。Objective Target wavefront detection with variable scalability is a technical challenge for adaptive optics applications in object identification,laser atmospheric transmission,laser communication,object imaging,and other fields.In engineering applications within these fields,the phase information of an aberrated wavefront is measured in real time using a correlated Hartmann wavefront sensor.This sensor contributes to excellent wavefront correction in adaptive optics systems,which can lead to imaging quality optimization and beam quality enhancement.As the“eye”of an adaptive optics system,the detection accuracy of the wavefront sensor directly affects the correction capability of the adaptive optics.Hartmann wavefront detection of extended objects often involves the use of the cross-correlation function to estimate the peak value to obtain the sub-aperture offset and then recover the wavefront phase.When the detector is operated,owing to the real-time change in the motion state of the extended object itself and the influence of atmospheric turbulence,the image of the extended object of the sub-aperture object surface often exhibits various types of quality degradation,such as image contrast change,spot drift,and spot dispersion.The flicker phenomenon most often occurs on the edge sub-aperture,which directly leads to the partial loss of the sub-aperture image,thus affecting the calculation of the sub-aperture offset by the relevant algorithm and reducing the accuracy of wavefront detection.In this paper,we report on the sub-aperture and reference images required by an image preprocessing algorithm.After processing,the calculation accuracy of the sub-aperture offset is greatly improved.Under different missing degrees of the image,the preprocessing method exhibits stability,and the wavefront detection accuracy is improved accordingly.Methods In this study,the speeded-up robust feature(SURF) feature-matching image preprocessing method is used.Before the cross-correlation calculation of the sub-aperture offset,the

关 键 词：自适应光学 相关哈特曼 特征匹配 波前探测 子孔径图像 部分缺失 

分 类 号：O436[机械工程—光学工程]