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复杂海空背景下红外弱小目标检测技术研究
引用本文:王江安,吴荣华,康圣,宗思光.复杂海空背景下红外弱小目标检测技术研究[J].光学与光电技术,2008,6(6):41-43.
作者姓名:王江安  吴荣华  康圣  宗思光
作者单位:海军工程大学电子工程学院光电所,湖北,武汉,430033
基金项目:"十一五"预先研究基金资助项目
摘    要:为实现舰载红外警戒系统对海空背景下红外弱点目标的检测,根据目标识别系统的组成及目标检测识别信息处理流程,研究了远距离弱小目标的检测识别算法。结合形态学的方法给出一种目标检测算法,该算法可以有效地消除云层、海浪、海天线以及传感器本身引入的杂波和噪声干扰,仿真结果表明采用本文提出的算法有利于对目标的进一步识别,提高舰载红外警戒系统的目标检测性能。

关 键 词:数学形态学  目标检测  舰载红外警戒系统
收稿时间:2008/6/3

New Detection Technology of Infrared Weak Point Target Under Complicated Background of Sea and Sky
WANG Jiang-an,WU Rong-hua,KANG Sheng,ZONG Si-guang.New Detection Technology of Infrared Weak Point Target Under Complicated Background of Sea and Sky[J].optics&optoelectronic technology,2008,6(6):41-43.
Authors:WANG Jiang-an  WU Rong-hua  KANG Sheng  ZONG Si-guang
Institution:WANG Jiang-an WU Rong-hua KANG Sheng ZONG Si-guang(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China)
Abstract:To detect weak point target under the background of sky and sea by shipboard infrared surveillance system,the detection algorithm of far and dim target was mainly studied based on the constitution of the target recognition system and target information processing flow of detection and recognition.A new method of target detection was presented combined with mathematical morphology.The method can be used to effectively eliminate noise caused by cloud,wave and sensor.The results of simulation show that the ari...
Keywords:mathematical morphology  target detection  shipboard infrared surveillance system  
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