研究分析了双距离像子空间的分类机理,并介绍了所采用的最近邻特征线判别规则。将双距离像子空间与最近邻特征线判别规则相结合的分类器应用于雷达目标距离像识别中。用3种不同类型飞机实测回波数据进行识别研究,结果表明了该方法的有效性。指出了最近邻特征线判别规则的不足之处,即最近邻特征线敏感于特征提取方法。 The classification mechanism of double-distance subspace is researched and analyzed, and the discriminant rules of the nearest neighbor feature lines are introduced. The classifier combining the dual distance subspace with the nearest neighbor criterion is applied to radar target distance image recognition. The echos data of 3 different types of aircraft were used to identify the results. The results show the effectiveness of this method. The shortcomings of the discriminant rules of the nearest neighbor are pointed out, that is, the nearest neighbor is sensitive to the feature extraction method.