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多尺度线状目标的机场跑道识别
引用本文:李小毛,唐延东,肖颍杰.多尺度线状目标的机场跑道识别[J].红外与激光工程,2005,34(6):733-736.
作者姓名:李小毛  唐延东  肖颍杰
作者单位:1. 中国科学院,沈阳自动化研究所,辽宁,沈阳,110016;中国科学院,研究生院,北京,100039
2. 中国科学院,沈阳自动化研究所,辽宁,沈阳,110016
基金项目:中国科学院科技创新基金项目(A01046)
摘    要:特定目标的检测与识别是自动目标识别的关键技术之一。作为典型地面目标,机场跑道的识别.一直是自动目标识别领域人们感兴趣的研究课题。针对机场的跑道成像是线状结构和高灰度值的特征。提出了一种基于多尺度线状目标强化的机场跑道识别算法。实验结果表明,在复杂背景下,此方法在将机场跑道目标强化出来的同时,能够很好地抑制其他非线状特征目标,起到真正的强化作用。因此,在复杂背景下,此方法较基于边缘的机场跑道识别算法具有更好的识别性能。

关 键 词:跑道识别  线状目标强化  多尺度分析
文章编号:1007-2276(2005)06-0733-04
收稿时间:2005-02-10
修稿时间:2005-04-18

Automatic airport runway recognition based on multi-scale linear object enhancement
LI Xiao-mao,TANG Yan-dong,XIAO Ying-jie.Automatic airport runway recognition based on multi-scale linear object enhancement[J].Infrared and Laser Engineering,2005,34(6):733-736.
Authors:LI Xiao-mao  TANG Yan-dong  XIAO Ying-jie
Affiliation:1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016,China 2.Graduate University of the Chinese Academy of Sciences, Beijing 100039,China
Abstract:The detection and recognition of specific targets is one of key techniques of ATR. The recognition of a runway, as a specific ground target, is still an interesting research subject in the ATR. An algorithm of automatic runway recognition based on multi-scale linear object enhancement is presented according to runway characters of linear structure and high intensity. Experimental results show that the algorithm can enhance runway while restraining other objects of nonlinear structure and has better performance than the algorithm based on edge detection in the complicated background.
Keywords:Runway recognition  Linear object enhancement  Multi-scale analysis
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