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多量级多向梯度海空复杂背景红外弱点目标检测
引用本文:宗思光,王江安.多量级多向梯度海空复杂背景红外弱点目标检测[J].应用光学,2005,26(5):25-028.
作者姓名:宗思光  王江安
作者单位:海军工程大学,兵器工程系,湖北,武汉,430033
基金项目:国防武器重点基金资助项目(编号614012)
摘    要:由于红外图像一般带有较大的噪声,采用传统的目标检测方法效果不理想。本文提出了一种新的海空背景下受强杂波和噪声污染的红外图像弱点目标检测算法。用多个量级梯度对图像目标进行检测,并对检测的结果进行了表决融合。结果表明,基于表决融合的多量级多向梯度检测消除了云层、海浪和海天线等背景干扰,在实现高检测概率的同时,不仅可以达到较低的虚警概率,而且可检测信杂比为1的点目标。

关 键 词:多向梯度  表决融合  目标检测  舰载红外警戒系统
文章编号:1002-2082(2005)05-0025-04
收稿时间:2004-07-25
修稿时间:2004-07-252004-10-08

Detection Based on Multi-Degree and-Orientation Gradient Fusion for Weak Infrared Dot-Objects
ZONG Si-guang,WANG Jiang-an.Detection Based on Multi-Degree and-Orientation Gradient Fusion for Weak Infrared Dot-Objects[J].Journal of Applied Optics,2005,26(5):25-028.
Authors:ZONG Si-guang  WANG Jiang-an
Institution:Dept.of Weaponry Engineering,Naval Univ.of Engineering, Wuhan 430033,China)
Abstract:Experiments indicate that the traditional methods of infrared image detection are not ideal because of the bigger noise of infrared image. The algorithm based on multi-degree and-orientation gradient fusion is presented to recognize the dot-obiects in the low-contrast infrared image polluted by heavy noise and stray waves. Experiments for detecting dim dot-targets with the above method are carried out. The result indicates that the detection performance of the multi-degree and-orientation gradient fusion is better than that of the adaptive filter and medium filter. The algorithm is especially suited to the surveillance systems of low frame rate and can detect the dot-targets with signal to clutter ratio equal to 1.
Keywords:multi-orientation gradient  voting fusion  target detection  shipboard infrared search-track system
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