现代防御技术 ›› 2020, Vol. 48 ›› Issue (2): 45-49.DOI: 10.3969/j.issn.1009-086x.2020.02.008

• 探测跟踪技术 • 上一篇    下一篇

基于图像序列的被动测距

李玉钊, 张英杰, 张伟, 刘岩, 陈曦   

  1. 北京遥感设备研究所,北京 100854
  • 收稿日期:2019-07-16 修回日期:2019-09-15 出版日期:2020-04-20 发布日期:2021-01-20
  • 作者简介:李玉钊(1979-),男,河北石家庄人。研究员,硕士,主要从事近感探测研究。通信地址:100854 北京市142信箱205分箱9室 E-mail:13799365@qq.com

Passive Ranging Based on Image Sequence

LI Yu-zhao, ZHANG Ying-jie, ZHANG Wei, LIU Yan, CHEN Xi   

  1. Beijing Institute of Remote Sensing Equipment,Beijing 100854,China
  • Received:2019-07-16 Revised:2019-09-15 Online:2020-04-20 Published:2021-01-20

摘要: 针对导弹和目标交会段近似匀速运动的特点,利用红外成像导引头所测得的目标像,分析了基于目标面积和目标像灰度的被动测距原理;建立了目标成像模型,推导了基于图像面积梯度和基于图像灰度梯度的2种测距方程。这2种测距方法均无需利用目标具体参数,利用红外导引头测量到的目标像面积或目标像灰度值解算出目标的距离。针对反导任务的计算机仿真结果验证了上述2种测距方法的正确性,并比较了基于图像面积和基于图像灰度的被动测距精度。这2种测距方法可为被动红外成像测距提供参考。

关键词: 红外, 图像, 被动测距, 梯度, 导引头

Abstract: Considering the characteristics of the uniform motion of the missile and target before intersection,the target image measured with infrared seeker was used to analyze the passive ranging method based on target image area and target image gray-scale.The target image model was established.Two ranging equations based on image area gradient and image gray-scale gradient were deduced without target parameter.The correctness of the two ranging methods were verified by simulations.These two methods provide references for passive infrared image ranging.

Key words: infra-red, image, passive ranging, gradient, guider

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