摘要
针对单帧红外弱小目标检测中背景抑制残差图中的目标检测问题,提出一种基于窄波段像素色比的残差图融合方法.首先在传统背景抑制获得残差图的基础上,通过计算窄波段图像的像素色比,选取适当的恒定分割率实现目标和杂波的分离,依照特定的融合准则获得信噪比较高的融合残差图;然后应用基于目标体积检测的方法对融合图像中目标能量进行集中,以获取信噪比更高的结果图.该方法的优点在于,弥补了背景抑制后的图像直接阈值分割时受杂波影响大的缺陷,能够有效降低虚警率.
The aim of this paper is to solve the target detection after the background suppression in infrared small target detection.A method based on the color ratio of different narrow wavebands is proposed to fuse the residual images.There are four main procedures in the whole detection：first,the background for residual images is suppressed;second,the fused residual images with improved SNR are obtained by color ratio calculation;third,the concentrated target energy in the images is obtained by employing the target volume detection method bringing a higher SNR of the image;finally,threshold segmentation would find the targets more precisely compared with traditional segmentation.The proposed method has advantages of being unacted on the clutter and reducing the false alarm rate.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2014年第4期58-63,157,共7页
Journal of Xidian University
基金
国家部委预研基金资助项目(9140A01060110D20125)
关键词
弱小目标检测
窄波段
色比
体积检测
阈值分割
small target detection
narrow wavebard
color ratio
volume detection
threshold segmentation
