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光学稀疏孔径系统的成像及其评价方法
引用本文:王大勇,韩骥,刘汉承,伏西洋,郭红锋,陶世荃. 光学稀疏孔径系统的成像及其评价方法[J]. 光子学报, 2008, 37(6): 1208-1212
作者姓名:王大勇  韩骥  刘汉承  伏西洋  郭红锋  陶世荃
作者单位:北京工业大学,应用数理学院,北京,100022;中国科学院国家天文台,北京,100012
基金项目:国家自然科学基金 , 北京市委组织部优秀人才培养基金 , 北京市属市管高校人才强教计划
摘    要:对典型阵列结构的光学稀疏孔径系统成像特性进行了数值仿真分析,并采用基于光学实验测量的调制传递函数(MTF)完成了光学稀疏孔径系统成像实验的图像复原处理.针对复杂目标成像,为了评价光学稀疏孔径系统最终成像的整体质量,不仅考虑系统的调制传递函数指标,还提出了一种基于相关系数的成像质量客观评价方法.数值仿真结果和光学实验结果均表明,基于相关系数的成像质量客观评价方法是可行的,实验说明光学稀疏孔径系统成像质量可以达到其等效单个大孔径成像系统的成像效果.

关 键 词:光学成像  稀疏孔径系统  相关系数  图像复原
收稿时间:2007-01-04
修稿时间:2007-04-13

Imaging of Optical Sparse Aperture Systems and Evaluate Method
WANG Da-yong,HAN Ji,LIU Han-cheng,FU Xi-yang,GUO Hong-feng,TAO Shi-quan. Imaging of Optical Sparse Aperture Systems and Evaluate Method[J]. Acta Photonica Sinica, 2008, 37(6): 1208-1212
Authors:WANG Da-yong  HAN Ji  LIU Han-cheng  FU Xi-yang  GUO Hong-feng  TAO Shi-quan
Abstract:Optical sparse aperture systems can be designed to obtain high resolution in astronomical object imaging.It is a particular array synthesized by several small filled imaging systems.The computer simulations are achieved for the three typical configurations imaging character of sparse apertures array.The analysis is presented on the modulation transfer function(MTF) and the resulted images on the optical experiments.Image restoration of the direct output by the sparse aperture system is performed by using the Weiner filter.To evaluate the whole quality of optical sparse aperture systems for the complicated target,except with the MTF,the correlation coefficient is also presented as a new objective estimate method of image quality.The results show that the Tri-Arm array configuration can produce the higher resolution and the larger correlation coefficient after the restoration.Accordingly,not only from theoretical analysis but also based on the experimental data,the possibility is demonstrated that the correlation coefficient is considered as the objective estimate method of image quality,and the optical sparse aperture systems can achieve almost the same resolution and image quality as an equivalent filled system.
Keywords:Optical imaging  Sparse aperture system  Correlation coefficient  Image restoration
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