一种红外成像导引头探测视场实时扩展算法

雷昊; 史冉东; 贾青松; 赵晟; 黄雪莲

一种红外成像导引头探测视场实时扩展算法

1.
上海航天控制技术研究所, 上海 201109
2.
上海机电工程研究所, 上海 201109

基金项目:

上海航天科技创新基金 USCAST2022-35

详细信息

作者简介:
雷昊（1989-），男，黑龙江伊春人，工程师，工学硕士，主要从事红外探测控制系统设计等方面的研究。E-mail: mr_lei@126.com

中图分类号: TJ761.1
计量
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- PDF下载量: 29
出版历程
- 收稿日期: 2023-12-18
- 修回日期: 2024-01-20
- 网络出版日期: 2024-06-23
- 刊出日期: 2024-06-19

Improved Method for IR-guided Weapons to Enlarge Field of View

1.
Shanghai Aerospace Control Technology Institute, Shanghai 201109, China
2.
Shanghai Electromechanical Engineering Institute, Shanghai 201109, China

摘要

摘要:
由于红外探测器灵敏阈相对较低的特点，红外探测体制的导引头多用于末端防空领域，或者与其他制导模式相组合完成打击任务。惯导红外复合制导是近几年在国内外流行的制导模式，低目标指示精度下的红外交班是复合制导体制一项重要的关键技术，框架扫描与视场实时拼接技术可以有效完成低目标指示精度下的红外交班。本文根据小口径两轴框架位标器特点，设计了框架闭环扫描搜索算法。同时分别提出了基于位标器惯性信息和图像特征信息的图像实时拼接方法，并针对惯性信息拼接积累误差大和图像特征拼接不适用于极端复杂场景和极端简单场景的缺点，设计了将惯性信息与图像特征偏移信息相融合的图像拼接方法，最后通过仿真验证了该方法不仅可以有效消除积累误差，在极端特殊场景下也可以达到品质较好的图像拼接效果，获得了更大的红外探测视场。
- 两轴框架 /
- 平移变换 /
- Harris角点检测 /
- 互信息 /
- 卡尔曼滤波
Abstract:
Owing to comparatively small working distances, IR-guided weapons are usually used in either terminal air defense or complex guided weapons. Radar/IR and INS/IR composites have recently gained popularity as tactical weapons. Reliable switching to the infrared mode with low guide precision is an important technique in composite seekers, making scan-technique and view-compound obligatory approaches for reliable handover. Based on the characteristics of the diminutive coordinator, this study designs a quick-scan technique, integrating into the INS assembly arithmetic-based image characteristics. To address the anterior error of complex images, compound arithmetic based on the Kalman filter is designed, combining INS communication with image characteristics. Finally, through simulations, the method was demonstrated to effectively eliminate accumulated errors. High-quality image stitching can also be achieved in extremely specific scenarios. This method yields a larger infrared detection field of view.
- two-axis platform /
- parallel change /
- Harris character check /
- correlative communication /
- Kalman filter

HTML全文

图 1 匀速矩形扫描的视场移动方式

Figure 1. Field of view movement method for uniform rectangular scanning

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图 2 扫描跟踪控制原理

Figure 2. Scanning and tracking control principle

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图 3 扫描效果二维图

Figure 3. 2D image of scanning effect

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图 4 探测器采集原始图像

Figure 4. The original image of IR detector

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图 5 使用惯性姿态信息拼接的图像

Figure 5. Composite image using INS information

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图 6 红外图像Harris角点图

Figure 6. Harris corner plot of infrared image

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图 7 不同偏移下图像帧间方差

Figure 7. Inter frame variance of images under different offsets

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图 8 互信息匹配矩阵

Figure 8. Mutual information matching matrix

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图 9 极大互信息下的图像偏移点

Figure 9. Image offset point

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图 10 通过图像特征匹配方法拼接处的原始图像

Figure 10. The original image at the stitching point using image feature matching method

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图 11 原始红外图像

Figure 11. Original infrared image

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图 12 角点特征图像

Figure 12. Corner feature image

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图 13 特征点分割二值化图像

Figure 13. Feature point segmentation binary image

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图 14 图像特征偏移量与卡尔曼滤波偏移量

Figure 14. Image feature offset and Kalman filter offset

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图 15 新算法的拼接结果

Figure 15. Splicing results of the new algorithm

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