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基于时域的红外图像序列中快速运动小目标检测算法
引用本文:聂洪山, 赵新昱, 陈晓飞. 基于时域的红外图像序列中快速运动小目标检测算法[J]. 红外技术, 2006, 28(6): 319-323. DOI: 10.3969/j.issn.1001-8891.2006.06.003
作者姓名:聂洪山  赵新昱  陈晓飞
作者单位:国防科技大学四院ASIC研发中心,湖南,长沙,410073;哈尔滨工业大学计算机学院,黑龙江,哈尔滨,150000;北京图形研究所,北京,100000
摘    要:提出了一种新的红外图像序列中快速运动小目标时域模型.为差分图像序列中的背景像素、目标像素、杂波像素建立了模型,将目标检测问题转化为噪声中已知信号的检测问题,并应用相关检测技术进行目标检测.理论分析表明,在SNR和SCR均大于6的情况下,算法具有很好的性能,实验结果也证实了算法的有效性.

关 键 词:红外图像序列  小目标  快速目标
文章编号:1001-8891(2006)06-0319-05
收稿时间:2006-03-22
修稿时间:2006-03-22

A Temporal Algorithm for IR Fast Small Targets Detection
NIE Hong-shan, ZHAO Xin-yu, CHEN Xiao-fei. A Temporal Algorithm for IR Fast Small Targets Detection[J]. Infrared Technology , 2006, 28(6): 319-323. DOI: 10.3969/j.issn.1001-8891.2006.06.003
Authors:NIE Hong-shan  ZHAO Xin-yu  CHEN Xiao-fei
Abstract:A new model for fast small target in IR image sequence was put foreword. Models for background pixel, target pixcel, clutter pixel in the differential image sequence were given. The proplem of targets detection was converted to the detection of a known signal in noise and correlate technique was used to detect targets in IR image sequence. Theoretical analyses shown that this algorithm could detect small targets in IR image sequence with SNR and SCR higher than 6.0. Experiment results also proved the validity of the algorithm.
Keywords:IR image sequence   small targets   fast Targets
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