基于微端面光纤面板的多孔径视场重叠复眼的视场模型

裘溯; 倪宇; 金伟其; 郭宏; 刘志刚; 米凤文

doi:10.3788/OPE.20152311.3018

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基于微端面光纤面板的多孔径视场重叠复眼的视场模型

现代应用光学 | 更新时间：2020-08-13

- 基于微端面光纤面板的多孔径视场重叠复眼的视场模型
- FOV modeling of multi-aperture superposition compound eye based on micro-surface fiber faceplate
- 光学精密工程 2015年23卷第11期页码：3018-3025
- 作者机构：
  
  1. 北京理工大学光电学院光电成像技术与系统教育部重点实验室北京,100081
  2. 微光夜视技术重点实验室,陕西西安,710065
- 作者简介：
- 基金信息：
  
  微光夜视技术重点实验室基金资助项目(No.9140C380503120C38148).()
- DOI：10.3788/OPE.20152311.3018
  中图分类号： TH703;TP391
- 收稿日期：2015-07-02，
  
  修回日期：2015-08-07，
  
  纸质出版日期：2015-11-25
- 稿件说明：
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裘溯, 倪宇, 金伟其等. 基于微端面光纤面板的多孔径视场重叠复眼的视场模型[J]. 光学精密工程, 2015,23(11): 3018-3025

QIU Su, NI Yu, JIN Wei-qi etc. FOV modeling of multi-aperture superposition compound eye based on micro-surface fiber faceplate[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3018-3025
裘溯, 倪宇, 金伟其等. 基于微端面光纤面板的多孔径视场重叠复眼的视场模型[J]. 光学精密工程, 2015,23(11): 3018-3025 DOI： 10.3788/OPE.20152311.3018.

QIU Su, NI Yu, JIN Wei-qi etc. FOV modeling of multi-aperture superposition compound eye based on micro-surface fiber faceplate[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3018-3025 DOI： 10.3788/OPE.20152311.3018.

摘要

介绍了多孔径视场重叠的仿生复眼成像系统的性能

建立了基于微端面光纤面板的多孔径视场部分重叠型复眼的成像视场模型。系统地分析了选用的器件参数如顶面、侧面和角面子复眼间的视场角、视场重叠率、视场重叠距离等参数对系统性能的影响

并通过实验系统的复眼视场以及视场重叠率的测量验证了模型的有效性。实验测试显示:本文建立的视场模型与测试结果具有很好的一致性

系统侧面与角面视场的实测值与理论值的误差分别为3.58%和12%;顶面与侧面和角面的视场重叠率误差分别为3.33%和5.17%。该复眼成像视场模型为进一步研究复眼成像的目标探测和跟踪理论奠定了基础

对多孔径视场重叠仿生复眼成像系统的优化设计具有指导作用。

Abstract

The performance of multi-aperture superposition compound eye imaging systems was introduced. The FOV(field of view) modeling for a multi-aperture partial superposition compound eye imaging system based on a micro-surface fiber faceplate was established. The effects of some device parameters such as the FOV

the overlapping rate of different sub-FOVs and the minimal FOV overlap distance between top sub-surface and side sub-surface on the system performance were analyzed. Then

the feasibility of the FOV modeling was verified by measurement of compound eye FOV and FOV overlap rates in an experimental system. Experimental results indicate that the FOV modeling is in accordance with the real imaging system. The deviations of side and corner FOV angles of the system are 3.58% and 12%

respectively

the deviation of overlapping fields between top surface and side surface is 3.33%

and the deviation of overlapping fields between top surface and corner surface is 5.17%. The artificial compound eye FOV modeling establishes a theoretical basis for further study of the target detection and tracking theory of compound eye imaging and has a guiding significance for the designing of multi-aperture FOV artificial superposition compound eye systems.

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references

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