摘要
介绍了红外图像弱小目标探测的研究背景与技术难点,并对空域滤波法、变换域滤波法、时域滤波法三类典型红外图像弱小目标探测算法进行综述,并对空域滤波法、变换域滤波法中常用目标探测算法以及边缘分割方法进行实验分析。实验结果表明,这三类红外图像弱小目标探测算法各有优缺点,具体目标探测算法的选取受目标特征和背景特征影响较大。并简述了红外图像弱小目标探测技术的发展趋势。
The background and technical difficulties of infrared small target detection are introduced. Three types of small infrared target detection algorithms are summarized, such as spatial-domain filtering, transform-domain filtering and time-domain filtering. The common target detection method and edge segmentation method of spatial- domain filtering and transform-domain filtering are analyzed through experiments. Experimental results show that three types of small infrared target detection algorithms have both advantages and disadvantages. Selecting specific target detection algorithm is more affected by the target and background feature. And the development trend of small infrared target detection is discussed briefly.
出处
《激光与光电子学进展》
CSCD
北大核心
2016年第5期38-46,共9页
Laser & Optoelectronics Progress
基金
国家自然科学基金(61308099)
吉林省重大科技攻关专项(11ZDGG001)
关键词
探测器
红外弱小目标探测
空域滤波
变换域滤波
时域滤波
detectors
small infrared target detection
patial filtering
transform-domain filtering
time-domainfiltering
作者简介
刘让（1990-），男，硕士研究生，主要从事图像处理和目标检测跟踪方面的研究。E-mail：liurang14@mails．ucas．ac．cn
导师简介：贾平（1964-），男，博士，研究员，博士生导师，主要从事光学动态成像控制和图像处理技术等方面的研究。E—mail：jiap@ciomp．ac．cn
