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1.华北光电技术研究所,北京 100015
2.北京真空电子技术研究所,北京 100015
[ "杨德振(1988-),男,广东汕头人,博士研究生,2011年于东北大学获得学士学位,2016年于电子科学研究院获得硕士学位,主要从事数模混合集成电路设计、弱信号提取及图像处理的研究。E-mail: yangdezhen88@126.com" ]
[ "喻松林(1966-),男,江西宜春人,研究员,博士生导师,1988年于华中科技大学获得学士学位,主要从事光电系统及其图像处理、高性能红外探测器设计与制备、新体制光电探测等方面的研究。E-mail: yusir8511@sina.com" ]
收稿日期:2021-04-30,
修回日期:2021-07-07,
纸质出版日期:2022-01-15
移动端阅览
杨德振,喻松林,冯进军等.机载复杂场景下的低虚警红外目标检测[J].光学精密工程,2022,30(01):96-107.
YANG Dezhen,YU Songlin,FENG Jinjun,et al.Low false alarm infrared target detection in airborne complex scenes[J].Optics and Precision Engineering,2022,30(01):96-107.
杨德振,喻松林,冯进军等.机载复杂场景下的低虚警红外目标检测[J].光学精密工程,2022,30(01):96-107. DOI: 10.37188/OPE.20223001.0096.
YANG Dezhen,YU Songlin,FENG Jinjun,et al.Low false alarm infrared target detection in airborne complex scenes[J].Optics and Precision Engineering,2022,30(01):96-107. DOI: 10.37188/OPE.20223001.0096.
机载红外光电探测系统进行下视复杂场景目标探测时,地面虚警干扰源同弱小目标在空间分布上一致,传统算法会导致大量虚警。因此,提出一种基于运动目标特征的多维度特征关联检测算法。该算法首先对复杂场景进行特征点检测,引入基于相对速高比的跳帧机制,对经过图像配准的帧间图像进行差分处理检出候选目标。同时,结合基于核相关滤波的目标相似度方法进行多维多帧关联,进一步抑制虚警并确认目标。实验结果表明,在载机速高比大于30 mrad/s、系统帧时小于10 ms的机载环境下,该算法的平均检测率达到99.13%,虚警率降至10
-
5
。该方法在多种机载复杂场景下得到验证,适合流水并行运算操作,满足工程实践需求。
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.
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