跟踪图像生成技术应用于光电设备模拟训练

于洋; 李丹

doi:10.3788/YJYXS20153002.0347

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跟踪图像生成技术应用于光电设备模拟训练

成像技术与图像处理 | 更新时间：2020-08-12

- 跟踪图像生成技术应用于光电设备模拟训练
- Technology of tracking image generating applied in simulation training of photoelectric device
- 液晶与显示 2015年30卷第2期页码：347-352
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
- 作者简介：
  
  [ "于洋(1981-),男,吉林长春人,博士研究生,助理研究员,主要从事图像处理,轨道预报技术的研究。E-mail:repusnam@163.com" ]
  [ "李丹(1981-),女,吉林长春人,硕士,助理研究员,主要从事电子学设计和开发。E-mail:lidan981@sina.com" ]
- 基金信息：
- DOI：10.3788/YJYXS20153002.0347
  中图分类号： TP391.4
- 收稿日期：2014-05-28，
  
  修回日期：2014-07-16，
  
  纸质出版日期：2015-04-05
- 稿件说明：
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于洋, 李丹. 跟踪图像生成技术应用于光电设备模拟训练[J]. 液晶与显示, 2015,30(2): 347-352

YU Yang, LI Dan. Technology of tracking image generating applied in simulation training of photoelectric device[J]. , 2015,30(2): 347-352
于洋, 李丹. 跟踪图像生成技术应用于光电设备模拟训练[J]. 液晶与显示, 2015,30(2): 347-352 DOI： 10.3788/YJYXS20153002.0347.

YU Yang, LI Dan. Technology of tracking image generating applied in simulation training of photoelectric device[J]. , 2015,30(2): 347-352 DOI： 10.3788/YJYXS20153002.0347.

摘要

针对光电设备在部队日常训练中缺乏合作目标的问题

提出了一种基于计算机处理的虚拟跟踪图像生成算法

该算法根据目标的理论弹道、目标类型、目标特征参数及目标的三视图

结合光电设备转台位置信息生成虚拟目标跟踪图像。该算法有效解决了在部队的日常训练中无合作目标的问题

在生成虚拟图像后

可让操作人员根据虚拟跟踪图像对设备进行操作

完成日常训练。同时

在算法的研究过程中充分考虑处理耗时

在经过算法优化后

虚拟跟踪图像生成算法的耗时在5~6 ms左右

针对标准PAL制式的模拟图像25 Hz的周期

可完成对虚拟跟踪图像的生成。对虚拟图像进行判读

计算虚拟图像的目标位置精度为1左右

满足部队日常训练使用要求。

Abstract

To solve the problem of lacking cooperation targets in the army's dairy training of the photoelectric device

a generating algorithm of the dummy tracking image is presented based on the computer's processing. This algorithm can generate the tracking image of the dummy target according to the theoretical trajectory

the prototype

the characteristic parameters and the three view of target

and also integrating the information of rotation position for the photoelectric device. The results show that the algorithm can effectively solve the army's training problem

which can make the operator manipulate the device on the basis of the dummy tracking image to complete the dairy training. At the same time

the algorithm has been optimized to improve the computer efficiency

which the working time is about 5~6 ms to generate the dummy tracking image for a standard PAL type analog image with 25 Hz cycle. By analyzing of the result

the precision of tracking image is about 1and measure up for the army's dairy training.

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Keywords

references

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