首页 | 本学科首页   官方微博 | 高级检索  
     

自动警戒圈的目标检测算法
引用本文:陈杰,杨神化,曹士连.自动警戒圈的目标检测算法[J].计算机系统应用,2012,21(1):57-60,80.
作者姓名:陈杰  杨神化  曹士连
作者单位:1. 集美大学计算机工程学院,厦门,361021
2. 集美大学航海学院,厦门,361021
摘    要:针对雷达/ARPA模拟器的特点,利用现代图像处理技术,将前后两个扫描周期的回波图像转化为二值图像,根据自动警戒圈的特点,采用使用逻辑运算和区域生长的方法,提出了目标检测算法,该算法不需要引入复杂的运算,并能较好地去除噪声对目标检测的干扰,实验表明该算法适用于当前的雷达/ARPA模拟器的目标检测。

关 键 词:雷达/ARPA模拟器  回波  二值图像  目标检测  区域生长
收稿时间:5/7/2011 12:00:00 AM
修稿时间:2011/6/16 0:00:00

The Algorithm of Objects Detection in Automatic Alert Circle
CHEN Jie,YANG Shen-Hua and CAO Shi-Lian.The Algorithm of Objects Detection in Automatic Alert Circle[J].Computer Systems& Applications,2012,21(1):57-60,80.
Authors:CHEN Jie  YANG Shen-Hua and CAO Shi-Lian
Affiliation:1(Computer Engineer College,Jimei University,Xiamen 361021,China) 2(Navigation College,Jimei University,Xiamen 361021,China)
Abstract:According to the feature of radar/ARPA simulator,this paper presents a novel algorithm of objects detection in automatic alert circle using modern image processing technology.The algorithm turns two echo images of consecutive scanning period into two binary images,and then uses logical operation and the method of region growing to detect objects in automatic alert circle.The algorithm doesn’t need complex operations,and filters out the detecting interference of the noise.Experiments show that the algorithm can be used in objects detecting of radar/ARPA simulator.
Keywords:Radar/ARPA simulator  echo  binary image  objects detection  region growing
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机系统应用》浏览原始摘要信息
点击此处可从《计算机系统应用》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