信号与信息处理

利用图层化图像进行杂散光分析

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  • 1. 中国科学院上海技术物理研究所,上海200083
    2. 中国科学院红外探测与成像技术重点实验室,上海200083
    3. 空军预警学院空天预警实验室,武汉430019
饶鹏,研究员,研究方向:航天光电遥感仪器的研制及应用等,E-mail: peng_rao@mail.sitp.ac.cn

收稿日期: 2014-03-19

  修回日期: 2014-03-31

  网络出版日期: 2014-11-28

基金资助

武器装备预研基金(No. 9140A22030113ZK07001)资助

Stray Light Analysis Based on Layer Imaging

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  • 1. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
    2. Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy
    of Sciences, Shanghai 200083, China
    3. Aerospace Early Warning Laboratory, Air Force Early Warning Academy, Wuhan 430019, China

Received date: 2014-03-19

  Revised date: 2014-03-31

  Online published: 2014-11-28

摘要

按时间推进,从场景出发来模拟动态成像过程,使用蒙特卡罗方法计算光学系统杂散光,形成图层化杂
散光图像. 与传统的杂散光分析方法相比,该方法得到的仿真结果为二维杂散光分布图像,可与空间光学遥感图像
直接比对分析. 通过对风云二号气象卫星午夜杂散光的图像进行仿真验证,结果表明该方法可以为杂散光的机理
和路径分析以及杂散光的抑制设计提供有效的评价.

本文引用格式

饶鹏1,2, 王成良3 . 利用图层化图像进行杂散光分析[J]. 应用科学学报, 2014 , 32(6) : 625 -630 . DOI: 10.3969/j.issn.0255-8297.2014.06.012

Abstract

With changing time and external scenes and based on a dynamic imaging process, the stray light
layer images are simulated by computing the stray light with the Monte Carlo method. Compared with
traditional methods for stray light analyses, the proposed method can simulate two-dimensional stray light
distribution images, and directly compare with remote-sensing images obtained by a space optical system.
Based on the experiments on the simulation images of stray light for FY-2 meteorological satellite at midnight,
the simulation results show that the method can evaluate the mechanism, path and suppression of the stray
light effectively.

参考文献

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