多特征相关的漂移扫描CCD星图目标识别

杨会玲; 孙慧婷; 柳红岩; 何昕

doi:10.3788/OPE.20152313.0762

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多特征相关的漂移扫描CCD星图目标识别

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- 多特征相关的漂移扫描CCD星图目标识别
- Target recognition based on multi-feature correlation from star image taken by drift-scan CCD
- 光学精密工程 2015年23卷第10z期页码：761-767
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2. 苏州科技学院电子与信息工程学院,江苏苏州,215000
- 作者简介：
- 基金信息：
  
  江苏省普通高校研究生科研创新计划项目(No.KYLX15_1311)()
- DOI：10.3788/OPE.20152313.0762
  中图分类号： TP391.4
- 收稿日期：2015-05-15，
  
  修回日期：2015-06-07，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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杨会玲, 孙慧婷, 柳红岩等. 多特征相关的漂移扫描CCD星图目标识别[J]. 光学精密工程, 2015,23(10z): 761-767

YANG Hui-ling, SUN Hui-ting, LIU Hong-yan etc. Target recognition based on multi-feature correlation from star image taken by drift-scan CCD[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 761-767
杨会玲, 孙慧婷, 柳红岩等. 多特征相关的漂移扫描CCD星图目标识别[J]. 光学精密工程, 2015,23(10z): 761-767 DOI： 10.3788/OPE.20152313.0762.

YANG Hui-ling, SUN Hui-ting, LIU Hong-yan etc. Target recognition based on multi-feature correlation from star image taken by drift-scan CCD[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 761-767 DOI： 10.3788/OPE.20152313.0762.

摘要

为了提高同步卫星定轨系统中卫星星图的目标识别精度

分析了漂移扫描CCD星图特征

提出了一种基于多特征相关的同步卫星目标识别算法。该算法利用形态学滤波抑制星图背景并消除背景的不均匀性;在星图背景均匀分布的基础上

分析局部区域的像素值、对比度和线性相关3种特征的相关度

基于相关度选取最佳阈值

根据最佳阈值分割同步卫星目标与恒星背景

提取目标像素

识别同步卫星目标。通过对同步卫星星图进行处理

结果表明

该方法能有效消除背景恒星对目标识别的影响

减少目标识别的误检率

精确识别同步卫星目标

满足同步卫星定轨的可靠性

稳定性与准确性要求。

Abstract

To improve the detection precision of a geostationary satellite orbit determination system

a target recognition method based on local region multi-feature correlation was proposed by analyzing the characteristics of a star image taken by a drift-scan CCD. A morphological filter method was used to suppress the background of star image and eliminate its non-uniformity. After homogenizing the image background

the correlation coefficients of three features(pixel values

contrast ratios and linear correlation) in local region were analyzed. On the basis of correlation coefficients

the optimal threshold was determinect to isolate the pixels of the satellites and the background stars and ultimately to identify the pixels of the satellite targets. The star images of geostationary satellite were processed

the experimental results show that this method removes the influence of background stars on target recognition

decreases error detection rate and accurately detects geostationary satellite targets. It can fulfill the requirement of reliability

stabilization and accuracy of geostationary satellite orbit determination.

关键词

Keywords

references

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