基于矩特征的三维飞机目标识别  

Three-Dimensional Aircraft Classification by Morents

作　　者：唐国良[1] 荆仁杰[1] 姚庆栋[1] 

机构地区：[1]浙江大学信息与电子工程学系

出　　处：《电子学报》1995年第4期88-90,共3页Acta Electronica Sinica

基　　金：国防科技预研基金

摘　　要：本文介绍了利用矩特征从二维数字图像识别三维物体的方法，利用不变矩和标准矩对五种不同的飞机目标进行识别，比较了这二种特征的性能，并且分析了特征数目对识别正确率的影响和矩特征在离散情况下的尺度拉伸不变性。研究结果表明利用三阶标准矩并结合方差平衡的特征处理技术可有效地实现对目标的识别。In this paper,the approach to identify three-dimensional objects by moments is presented.We have used moment invariants and standard moments to identify five different aircraft,and compared the performance of these two techniques. We have also studied the effects of the number of feature elements on classification results ,and the invariant property to scale change of moments under the discrete situation. Experiment results show that the order three standard moments with the variance balancing technique can classify aircraft effectively.

关 键 词：平面形状 形状识别 矩特征 飞机 目标识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN919.8[自动化与计算机技术—计算机科学与技术]