摘要
针对高分辨雷达一维距离像的舰船目标识别问题,提出了一种基于多特征提取、最近邻模糊分类器的目标识别方法。该方法首先对海上舰船目标进行姿态角估计,然后对一维距离像进行预处理,提取出径向长度、中心矩、散射中心特征,并采用最近邻模糊分类器进行识别匹配。通过4类军民船数据进行测试,验证结果表明,该方法在舰船目标识别领域具有良好的应用前景。
A method based on feature extracted and nearest neighbor fuzzy classification algorithm is proposed for ship target recognition. Firstly,attitude angle is estimated,data is preprocessed. Then,features are extracted from high resolution range profile. Finally,the targets are recognized by nearest neighbor fuzzy classification. The result of experiment with the simulation data of 4 ship targets indicates that the proposed method is efficient and very useful in ship target classification.
出处
《电子科技》
2017年第11期13-15,30,共4页
Electronic Science and Technology
基金
国防预研基金
