摘要
鸟击作为影响机场安全的主要事故征候,需要准确、稳定的弱小运动目标检测方法用于机场飞鸟检测。应用光场涨落增强低信噪比的飞鸟运动特征信号,再结合局部高斯混合模型对图像增强区域进行前景分割处理,实现宽视场复杂背景下的机场飞鸟目标检测,并完成不同光照条件的机场飞鸟检测实验。实验结果表明:所提算法较传统算法能有效提高机场条件下的远距离、宽视场、低信噪比弱小目标检测率,且具有较好的光学稳定性。
Airport bird detection requires a precise and reliable detection method for small and weakly moving targets because bird strikes are the primary accident sources affecting airport safety.The airport bird detection was realized under a wide field of view and against a complex background after completing experiments under various lighting conditions.The light field fluctuations were used to enhance the low signal-to-noise ratio of the bird motion characteristic signal,and the local Gaussian mixture model was used to segment the foreground of the image enhancement area.The experimental findings demonstrate the effectiveness of the proposed algorithm in increasing the detection rate of dim small targets with long distances,a wide field of view,and low signal-to-noise ratios while having better optical stability.
作者
刘国春
黄胜
魏桂明
郑伟
李明涛
Liu Guochun;Huang Sheng;Wei Guiming;Zheng Wei;Li Mingtao(College of Aviation Engineering,Civil Aviation Flight University of China,Guanghan 618307,Sichuan,China;National Space Science Center,Chinese Academy of Science,Beijing 100190,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2023年第14期21-28,共8页
Laser & Optoelectronics Progress
基金
中国科学院重点部署项目(KFZD-SW-438)
中国民用航空飞行学院研究生创新基金(XSY2022-13)
大学生创新创业项目(S202110624119)。
关键词
图像处理
低信噪比
光场涨落
局部高斯混合模型
宽视场
弱小运动目标
image processing
low signal-to-noise ratio
light field fluctuation
local Gaussian mixed model
wide view field
little moving object
作者简介
通信作者:刘国春,liuguochun@cafuc.edu.cn。
