摘要
通过对舰载红外警戒系统成像进行分析,提出了一种基于交叉算法的海天背景红外小目标的自动定位方法。其基本思路是根据红外图像的特点,首先通过Radon变换域极大值点提取海天线,然后沿海天线平行的方向取与海天线平行的直线,进行频率突变点的检测,最后由海天平行线和频率突变点处坐标共同对红外图像小目标进行定位。试验结果表明,该算法能快速、准确地对目标自动定位。
An auto-detection method based on ‘cross algorithm ＇ is introduced for infrared image small target detection. By utilizing the method on ship infrared search and track system, the algorithm proves to be ability to detect the small infrared target rapidly and exactly and with high detection ability. The method includes the following steps. First, an auto detection of sea-sky-line is implemented through Radon transform. Then nearer lines paralleling to sea-sky-line is availed to detect the break point of frequency. At last, the line paralleling to sea-sky-line together with the break point of frequency ascertains the position of IR small target. The algorithm has a high efficiency and can achieve real-time auto-orientation of IR small target.
出处
《激光与红外》
CAS
CSCD
北大核心
2007年第1期94-97,共4页
Laser & Infrared
关键词
小目标定位
RADON变换
小波变换
small target auto-orientationiRadon transform
waVelet transform
