摘要
介绍了一种基于低分辨雷达回波序列的飞机目标识别方法。该方法把一维回波序列变换成二维轮廓像,在二维轮廓像基础上,提取到较一维回波更加稳定、有效的特征。采用神经网络做为分类器,利用所提取的特征对五类飞机目标进行识别试验,得到了较高的正确识别率。
In this paper, a novel and valid method for low - resolution radar to recognize airpcraft is introduced. This method transforms return sequences into 2D outline image, based on which more stable and valid features are extracted. Neural network is used to classify five types of aircraft targets and the correct classification rate is high.
出处
《宇航计测技术》
CSCD
2004年第5期31-34,共4页
Journal of Astronautic Metrology and Measurement
基金
国家部委预研项目资助(4130304-01)
