摘要
机场跑道异物检测对排除跑道隐患、保障飞行安全意义重大。提出了一种基于雷达图像处理的跑道异物检测方法,首先通过若干高斯模型的叠加来拟合噪声分布,进而大幅削弱系统噪声;接着使用改进的背景减法排除背景的干扰;然后对经过二值化和中值滤波后的雷达图像通过数学形态学中的闭运算进行处理;最后使用漫水填充算法检测和标注异物。该方法已在雷达系统中使用,实时性强,效果良好。
FOD detection is of great significance to eliminate hidden dangers on runway and ensure flight safety. This paper proposes an FOD detection approach based on radar image processing. Firstly, several Gaussian models are used to represent the noise in radar image and remove the system noise. Then, the interference of background using a special background subtraction method are eliminated. Moreover closing operation from mathematical mor- phology is used to process the image after binarization and median filtering. Finally, flood fill algorithm is chosen to detect and mark FOD. This approach is successfully used in radar system and it has great real-time performance and brilliant effect.
出处
《电视技术》
北大核心
2014年第7期186-189,共4页
Video Engineering
基金
航空科学基金项目(201120M5007)
