| 结合无监督聚类的SVM二叉树在SAR自动目标识别系统中的应用 |
| |
| 引用本文： | 万涛,邹维,万谦,何晓庆.结合无监督聚类的SVM二叉树在SAR自动目标识别系统中的应用[J].成都大学学报(自然科学版),2008,27(2). |
| |
| 作者姓名： | 万涛 邹维 万谦 何晓庆 |
| |
| 作者单位： | 重庆师范大学,数学与计算机学院,重庆400047;重庆师范大学,数学与计算机学院,重庆400047;重庆师范大学,数学与计算机学院,重庆400047;重庆师范大学,数学与计算机学院,重庆400047 |
| |
| 摘 要： | 结合向量机二叉树是近年发展起来的一种新的多分类识别器,该方法现已证明能有效提高分类精度以及训练速度1].提出了结合无监督聚类的SVM二叉树的SAR目标自动识别,并对MSTAR的T-72 Variant数据库进行实验,取得了良好的识别效果,为SAR自动目标识别的多类别问题提供了一种新方法和新思路.
|
| 关 键 词： | 无监督聚类 支持向量机 SAR自动目标识别 二叉树 |
Application of Combining Unsupervised Cluster with SVM Binary Tree in the SAR Automatic Target Recognition System |
| |
| WAN Tao,ZOU Wei,WAN Qian,HE Xiaoqing.Application of Combining Unsupervised Cluster with SVM Binary Tree in the SAR Automatic Target Recognition System[J].Journal of Chengdu University (Natural Science),2008,27(2). |
| |
| Authors: | WAN Tao ZOU Wei WAN Qian HE Xiaoqing |
| |
| Abstract: | Synthetic Aperture Radar Automatic Target Recognition is one of key techniques handling radar signal of a new battlefield awareness.By using this method in this paper,combining unsupervised cluster with SVM Binary Tree was applied to SAR automatic target Recognition.The experiments by using MSTAR's T-72 Variant data base acquired good identification effect.This has provided a new method or idea for Synthetic Aperture Radar Automatic Target Recognition. |
| |
| Keywords: | unsupervised cluster support vector machine SAR automatic target recognition binary tree |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
