基于时域信噪比的红外弱小目标检测（英文）
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摘要
复杂背景下红外弱小目标检测与追踪技术一直是遥感成像应用领域一项复杂而艰巨的课题。利用高帧频红外面阵成像系统采集到图像的强帧间相关性特征,设计了一种多帧累加的时域信噪比的弱小目标检测方案。同时利用目标运动的连续性,采用多帧确认的方法关联目标,输出真实目标运动轨迹。实验结果表明,算法在vs2013上运行的平均运算时间为23ms,检测到的目标最低信噪比为2.91,同时对多目标的检测具有较强的适应性。
Dim target detection in infrared image with complex background is always a complex and difficult task in remote sensing area. A spatial Signal-to-Noise Ratio(SNR) dim target detection scheme with multi-frame accumulation for high frame rate imaging system is designed. At the same time, according to the continuity of the target motion, the multi-frame confirmation method outputs the real target trajectory. The experiment shows that the average operation time of the algorithm on vs 2013 is 23 ms, and it can effectively detect infrared dim target with SNR of 2.91. Otherwise the method has an adaption to multi-target detection.
Dim target detection in infrared image with complex background is always a complex and difficult task in remote sensing area. A spatial Signal-to-Noise Ratio(SNR) dim target detection scheme with multi-frame accumulation for high frame rate imaging system is designed. At the same time, according to the continuity of the target motion, the multi-frame confirmation method outputs the real target trajectory. The experiment shows that the average operation time of the algorithm on vs 2013 is 23 ms, and it can effectively detect infrared dim target with SNR of 2.91. Otherwise the method has an adaption to multi-target detection.
引文
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[13]JUNG Y S,SONG T L.Aerial-target detection using the recursive temporal profile and spatiotemporal gradient pattern in infrared image sequences[J].Optical Engineering,2012,51(6):066401-1-066401-12.
[14]TZANNES A P,MOONEY J M.Measurement of the modulation transfer function of infrared cameras[J].Optical Engineering,1995,34(6):1808-1817.
[2]陈静.红外弱小目标检测[D].南京:东南大学,2016.(CHEN Jing.Infrared small target detection[D].Nanjing,China:Southeast University,2016.)
[3]吴边,卿粼波,王正勇,等.基于运动目标的快速背景建模算法[J].太赫兹科学与电子信息学报,2013,11(2):286-290.(WU Bian,QIN Linbo,WANG Zhengyong,et al.A motion objects based fast background modeling algorithm[J].Journal of Terahertz Science and Electronic Information Technology,2013,11(2):286-290.)
[4]邓涛.基于BEMD和时空融合的红外弱小目标检测算法研究[D].武汉:华中科技大学,2015.(DENG Tao.Research on dim infrared small target detection based on BEMD and spatial-temporal method[D].Wuhan,China:Huazhong University of Science and Technology,2015.)
[5]王会改.基于空时域稀疏表示的弱小运动目标检测技术[D].重庆:重庆大学,2014.(WANG Huigai.Small dim moving target detection based on spatial-temporal sparse representation[D].Chongqing,China:Chongqing University,2014.)°?1 1°?1?1°D1ù1 pì1ò1 P 2°?1 0?10á1?Dú1 P?p?1 P?1°2?1?1e?p?1?1?1 pí1òeópò1 0ê1 pD1 0?1í°è1???°?1êD??éDé1ì1D?1Dì?éíe?ìPé1eè1ê2°e?0ì1e0?1°2 1ê1 p?1e2°2 Pí1￥ê°?1 2èP°?1e2?1D1ú1 PèèD1 p?1 0é1 2é1D2 p 2 pú1 p?1ìD2 p-1 0?1°0à1e11 2 pê1ì1?PD°1?2?1Dè1?1 0í1 0?1ì10 2D2a1 p?1 0?1 2°?1 021D?1?pè1 0 2 P?1p?1?1?p?1 P?1 pμ1 0?1 p?1 0à1 po1Dú1°ü1±1 2 pò1 0 2 p?1 P 2 031 pê1 p?1 P?1°?D??p?1?°ˉ0?1?1°?′óe?0±1 0 2ó1??P 2 2èóPì1 p?1 0?1 p÷1e?1 0?1°?1?1D2 2?e?p 2 0?1 P?p 2°?1àD±1?°?DyP?p?1D3eo0?1?0μ1 P??1°2 0y1e?1 P 2 0 2?1 0ˉ1 Páò1 P?°?1 2 1ù?p-1?1?p31?1 p?1 P 2 0ù1 0?1°oT1a0 21e-P?°y0a1 P?e?jè?i j
[6]董维科,张建奇,邵晓鹏,等.检测红外弱小目标的对比滤波时域廓线算法[J].西安电子科技大学学报,2014,41(1):13-17.(DONG Weike,ZHANG Jianqi,SHAO Xiaopeng,et al.Temporal profile algorithm based on comparison filtering for detection of the infrared dim small target[J].Journal of Xidian University,2014,41(1):13-17.)
[7]王玉梅,赵满庆.基于时域特性分析的靶场红外运动弱小目标检测[J].战术导弹技术,2013(2):60-65.(WANGYumei,ZHAO Manqing.The detection method of the small moving infrared target in range based on time-domain characteristic analysis[J].Tactical Missile Technology,2013(2):60-65.)
[8]KIM S,SUN S,KIM K T,et al.Highly efficient supersonic small infrared target detection using temporal contrast filter[J].Electronics Letters,2014,50(2):81-83.
[9]SILVERMAN J,CAEFER C E,DISALVO S,et al.Temporal filtering for point target detection in staring IR imagery:II.recursive variance filter[J].Proceedings of SPIE,1998,3373:44-53.
[10]VARSANO L,YATSKAER I,ROTMAN S.Temporal target tracking in hyperspectral images[J].Optical Engineering,2006,45(12):126201-1-126201-30.
[11]SUN X,ZHANG T,LI M,et al.Moving point target detection using temporal variance filter in IR imagery[J].Proceedings of SPIE,2007,6786:67861Z.
[12]LIU D,ZHANG J,DONG W.Temporal profile based small moving target detection algorithm in infrared image sequences[J].International Journal of Infrared and Millimeter Waves,2007,28(5):373-381.
[13]JUNG Y S,SONG T L.Aerial-target detection using the recursive temporal profile and spatiotemporal gradient pattern in infrared image sequences[J].Optical Engineering,2012,51(6):066401-1-066401-12.
[14]TZANNES A P,MOONEY J M.Measurement of the modulation transfer function of infrared cameras[J].Optical Engineering,1995,34(6):1808-1817.