首页 | 本学科首页   官方微博 | 高级检索  
     

基于粒子群分类器的遥感图像目标识别
引用本文:徐小慧,张安,端木京顺,郝秦霞.基于粒子群分类器的遥感图像目标识别[J].红外与激光工程,2007,36(4):551-554.
作者姓名:徐小慧  张安  端木京顺  郝秦霞
作者单位:西北工业大学,电子信息学院,陕西,西安,710072;空军工程大学,工程学院,陕西,西安,710038;西安科技大学,通信与信息工程学院,陕西,西安,710054
基金项目:教育部高等学校博士学科点专项科研基金 , 航空基础科学基金
摘    要:设计了一种用于遥感图像目标识别的粒子群分类算法。首先对数据样本预处理,利用粒子群优化算法通过训练数据进行分类规则的提取,根据提取得到的规则对遥感图像的目标进行分类识别。通过对实测遥感图像中飞机和舰船目标的识别实验,验证了此算法对遥感图像目标具有较高的识别率。

关 键 词:遥感图像  目标识别  分类器  粒子群优化
文章编号:1007-2276(2007)04-0551-04
收稿时间:2006/10/20
修稿时间:2006-10-20

Remote sensing target recognition based on particle swarm classifier
XU Xiao-hui,ZHANG An,DUANMU Jing-shun,HAO QIN-xia.Remote sensing target recognition based on particle swarm classifier[J].Infrared and Laser Engineering,2007,36(4):551-554.
Authors:XU Xiao-hui  ZHANG An  DUANMU Jing-shun  HAO QIN-xia
Affiliation:1.School of Electronic and Information, Northwestern Polytechnical University, Xi′an 710072, China; 2.Engineering College, Airforce Engineering University,Xi′an 710038,China; 3.School of Communication and Information Engineering, Xi′an University of Science and Technology, Xi′an 710054, China
Abstract:The particle swarm classifier is designed for radar target recognition in remote images. After the data pretreament, the classification rules are extracted by particle swarm optimization algorithm using training samples, and the remote sensing image target is recognized afterwards by using the rules. Experimental results on the remote sensing image data of airplanes and warships show that the proposed method has a higher performance in recognizing remote sensing target.
Keywords:Remote sensing image  Target recognition  Classifier  Particle swarm optimization
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《红外与激光工程》浏览原始摘要信息
点击此处可从《红外与激光工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号