Low false alarm infrared target detection in airborne complex scenes

被引：0
|
作者：
Yang D. [1 ,2 ]
Yu S. [1 ]
Feng J. [2 ]
Li J. [1 ]
Wang L. [1 ]
机构：
[1] North China Research Institute of Electro-optics, Beijing
[2] Beijing Vacuum Electronics Research Institute, Beijing
来源：
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2022年 / 30卷 / 01期
关键词：
Airborne environment; False alarm suppression; Kernelized correlation filtering; Moving target features; Pipeline parallel operation; Target detection;
D O I：
10.37188/OPE.20223001.0096
中图分类号：
学科分类号：
摘要：
When an infrared photoelectric detection system detects a target in a complex airborne scene, the spatial distribution of the ground false alarm interference source is consistent with the spatial distribution of the small dim target. Therefore, a multi-dimensional feature association detection algorithm based on moving target features was proposed herein. First, feature points were detected in complex scenes, and a frame skipping mechanism based on the relative velocity-height ratio was introduced. Candidate targets were detected by inter-frame image difference after image registration. Simultaneously, multi-dimension and multi-frame correlations based on the kernel correlation filter were used to suppress false alarms. In an airborne environment where the vehicle speed-to-height ratio is greater than 30 mrad/s and frame time is less than 10 ms, the average detection rate of this algorithm is 99.13%, and the false alarm rate is 10-5. This method was verified in various complex scenarios. In addition, it is suitable for pipeline parallel operation and meets the engineering needs. © 2022, Chinese Institute of Electronics. All right reserved.
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页码：96 / 107
页数：11
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