首页 | 本学科首页   官方微博 | 高级检索  
     

基于结构特征的遥感图像机场目标识别
引用本文:肖志坚,周焰,隋东坡,韩世明.基于结构特征的遥感图像机场目标识别[J].红外与激光工程,2005,34(3):314-318,332.
作者姓名:肖志坚  周焰  隋东坡  韩世明
作者单位:空军雷达学院,自动化教研室,湖北,武汉,430019;华中科技大学,水电与数字化工程学院,湖北,武汉,430073
基金项目:国家自然科学基金资助项目(40101019)
摘    要:提出了一种遥感图像中机场跑道的自动识别方法。在分析机场结构特征的基础上。首先采用形态学方法提取图像的线结构;然后通过非监督聚类方法将直线段动态分组;最后进行直线段修复和跑道配对,实现对机场的识别定位。计算机仿真验证了该方法的有效性。

关 键 词:遥感图像  数学形态学  非监督聚类  直线特征  跑道  目标识别
文章编号:1007-2276(2005)03-0314-05
收稿时间:2004/6/20

Structure based airport recognition in remote sensing image
XIAO Zhi-jian,ZHOU Yan,SUI Dong-po,HAN Shi-ming.Structure based airport recognition in remote sensing image[J].Infrared and Laser Engineering,2005,34(3):314-318,332.
Authors:XIAO Zhi-jian  ZHOU Yan  SUI Dong-po  HAN Shi-ming
Affiliation:XIAO Zhi-jian1,ZHOU Yan1,SUI Dong-po1,HAN Shi-ming2
Abstract:Based on analyzing line structure of runway,a new method to automatically detect runways in remote sensing image is presented.Firstly, line structure of the image by mathematical morphology is extracted.Then straight-line is grouped through dynamic clustering.Finally lines are relinked and runway are paired. Through runway′s localization, the recognition of airfield is realized.The experimental results show that this method has a perfect performance and usability to identify airfield of remote sensing images.
Keywords:Remote sensing image  Mathematical morphology  Non-surveillance clustering  Line feature  Runway  Target recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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