基于空不变图像复原的光学遥感成像系统优化

智喜洋; 张伟; 侯晴宇; 孙晅

doi:10.3788/OPE.20152305.1490

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基于空不变图像复原的光学遥感成像系统优化

信息科学 | 更新时间：2020-08-13

- 基于空不变图像复原的光学遥感成像系统优化
- Optimization for optical remote sensing imaging system based on space-invariant image restoration
- 光学精密工程 2015年23卷第5期页码：1490-1497
- 作者机构：
  
  哈尔滨工业大学空间光学工程研究中心,黑龙江哈尔滨,150001
- 作者简介：
- 基金信息：
  
  国家973重点基础研究发展计划资助项目(No.613210)()
- DOI：10.3788/OPE.20152305.1490
  中图分类号： TP751.1
- 收稿日期：2015-01-20，
  
  修回日期：2015-02-12，
  
  纸质出版日期：2015-05-25
- 稿件说明：
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智喜洋, 张伟, 侯晴宇*等. 基于空不变图像复原的光学遥感成像系统优化[J]. 光学精密工程, 2015,23(5): 1490-1497

ZHI Xi-yang, ZHANG Wei, HOU Qing-yu* etc. Optimization for optical remote sensing imaging system based on space-invariant image restoration[J]. Editorial Office of Optics and Precision Engineering, 2015,23(5): 1490-1497
智喜洋, 张伟, 侯晴宇*等. 基于空不变图像复原的光学遥感成像系统优化[J]. 光学精密工程, 2015,23(5): 1490-1497 DOI： 10.3788/OPE.20152305.1490.

ZHI Xi-yang, ZHANG Wei, HOU Qing-yu* etc. Optimization for optical remote sensing imaging system based on space-invariant image restoration[J]. Editorial Office of Optics and Precision Engineering, 2015,23(5): 1490-1497 DOI： 10.3788/OPE.20152305.1490.

摘要

提出了依据复原处理来优化设计遥感成像系统的思想。对影响复原处理性能的主要链路环节因素及其关系进行了理论分析、半物理和仿真实验以及正交试验。通过复原问题的数学模型

从理论上提出相机调制传递函数(MTF)的空间变化性(MTF

)、数据压缩比(

)和非均匀性校正残差(

)是影响空不变复原处理的主要因素;然后通过搭建半物理平台和仿真实验

分析上述因素导致的处理误差对复原图像判读质量的影响;最后利用组合数学理论

通过MTF

、

多因素多水平图像复原的正交试验

建立它们与处理性能间的关系量表。实验结果表明:在遥感成像系统MTF

小于10%、

小于4:1、

不大于3%

而系统MTF

仅为0.07的情况下

采用空不变复原处理仍可提高图像MTF面积达70%以上

且能保持图像信噪比(SNR)不变

而处理误差所致的图像失真也不会影响判读质量。

Abstract

An optimizing design idea for optical remote sensing imaging systems based on restoration processing was proposed. The main imaging-chain components effecting restoration processing performance were explored by theoretical analyzed

semi-physical simulation experiments and orthogonal experiments. According to deducing a mathematical model of restoration problems

it points out in theory that the main factors impacting the restoration performance are the imaging system Modulation Transfer Function space-variant (MTF

)

data compression ratio (

) and nonuniformity correction error (

). Then

the restoration distortions that effect the interpretation capability of images owing to the above factors were analyzed by using a semi-physical imaging platform and simulation experiments. Finally

the relationship between restoration performance and the above metrics was established by using combined mathematics and an orthogonal experiment for the restored images with multilevel MTF

and

. Experimental results indicate that the restoration performs well in a quite low MTF value at Nyquist frequency (only 0.07)

the MTF

is less than 10%

less than 4:1 and the

is no more than 3%

which not only implements the MTF area more than 70% but also keeps Signal to Noise Ratio(SNR) invariant and achieves available image quality for the interpretation as well.

关键词

Keywords

references

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