天基微弱运动点目标检测研究综述
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- 论文作者：吕凭乐 ; 赵丹新 ; 孙胜利
- 年：2016
- 作者机构：中国科学院上海技术物理研究所;中国科学院大学;上海科学技术大学;
- 论文关键词：红外图像 ; 运动点目标 ; 目标检测 ; 轨迹提取 ; 预处理 ; 多帧处理
- 英文论文关键词：infrared images ; moving point targets ; target detection ; trajectory extraction ; preprocessing ; multi-frame detection
- 会议召开时间：2016-12-06
- 会议录名称：2016年红外、遥感技术与应用研讨会暨交叉学科论坛论文集
- 语种：中文
- 分类号：TP391.41
- 学会代码：SHHH
- 会议名称：2016年红外、遥感技术与应用研讨会暨交叉学科论坛
- 会议地点：中国江苏常州
- 主办单位：上海市红外与遥感学会、上海市传感技术学会、中国科学院上海技术物理研究所
- 学会名称：上海市红外与遥感学会
- 页数：5
- 文件大小：289k
- 原文格式：D
- 会议级别：地方
摘要
复杂背景下的红外图像序列中天基微弱运动点目标探测问题在近几十年备受关注,对于空间监视系统、预警系统以及导弹跟踪系统等而言十分重要。受各方面影响,对于天基微弱点目标的检测跟踪和识别仍旧面临着很多挑战。仪器抖动及平台运动会导致目标定位偏差,受制于观测距离和天基成像环境,目标往往会淹没在背景杂波或者噪声中。如何在低信杂噪比的情况下快速并准确地探测和识别运动点目标,满足检测率和虚警率指标,是相关领域亟待解决的问题。本文就近年来国内外相关领域的研究进行分类与总结,以期在此基础上寻求新的探索和发现。
In recent decades, research of space-borne weak moving point targets in infrared image sequences under complex background has attracted much attention. It is of great significance for space surveillance systems, early warning systems and missile tracking systems. The detection, tracking and recognition of space-based dim point targets are still faced with many challenges due to various aspects. Instrument jitter and platform motion lead to target positioning bias, subject to observation distance and space-based imaging environment, the target is often submerged in the background noise or other kinds of noise. How to detect and identify the moving target quickly and accurately in low SNR environment, to meet the detection rate and false alarm rate index, is the problem to be solved in related fields. In this paper, classification and summary of the study in related fields at home and abroad in recent years are proposed, in order to seek for new exploration and discovery.
In recent decades, research of space-borne weak moving point targets in infrared image sequences under complex background has attracted much attention. It is of great significance for space surveillance systems, early warning systems and missile tracking systems. The detection, tracking and recognition of space-based dim point targets are still faced with many challenges due to various aspects. Instrument jitter and platform motion lead to target positioning bias, subject to observation distance and space-based imaging environment, the target is often submerged in the background noise or other kinds of noise. How to detect and identify the moving target quickly and accurately in low SNR environment, to meet the detection rate and false alarm rate index, is the problem to be solved in related fields. In this paper, classification and summary of the study in related fields at home and abroad in recent years are proposed, in order to seek for new exploration and discovery.
引文
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[27]Zhang.F,Li.C.F,Shi.L.Detecting and tracking dim moving point target in IR image sequence[J].Infrared physics and technology.2005,46:323-328.
[28]He.L.S,Xie.L.J,Xie.T,Pan.H.B,Zheng.Y.An effective TBD algorithm for the detection of infrared dim-small moving target in the sky scene[C].Multimedia and signal processing,Communications in computer and information science.2012,346:249-260.
[29]Zhang.H.Y,Gao.Y,Li.T.The detection of multiple dim small targets based on iterative density clustering and SURF descriptor[C].Web information systems engineering.2015,284-291.
[30]Ye.Y.Z,Cai.Y.Z.A spatially adaptive denoising with activity level estimation based method for infrared small target detection[C].Proceeding of the 11th world congress on intelligent control and automation.2014,2911-2917.
[31]Pan.H.B,Song.G.H,Xie.L,Zhao.Y.Detection method for small and dim targets from a time series of images observed by a space-based optical detection system[J].Optical review.2014,21(3):292-297.
[32]Wang.J.P,Sun.H.Y,Han.Y.A method of small target detection based on energy accumulation and morphology in infrared image sequences[C].2010 International conference on computer,mechatronics,control and electronic engineering.2010,263-266.
[33]Wu.B,Ji.H.B.A novel algorithm for point-target detection based on third-order cumulant in infrared image[C].IEEE international conference on signal processing.2006,2.
[34]Zuo.Z.G,Zhao.Y.J.A novel algorithm for detecting dim point target in infrared images based on MRF[C].IEEE symposium on computational intelligence for multimedia,signal and vision.2013,22-29.
[35]Zhang.Y,Wang.M,Niu.S.Q.A novel small dim infrared target detecting method based on grayscale merging and connected components analysis[C].International conference on modelling,identification and control.2012,454-459.
[36]Hamdulla.A,Xiang.G.Y,Turson.D.A particle filter and fuzzy clustering based algorithm for tracking dim moving multiple point targets in IR image sequences[C].2009 world congress on computer science and information engineering.2009,205-209.
[2]Yang.L,Yang.J,Yang.K.Adaptive detection for infrared small target under sea-sky complex background[J].Electronics Letters.2004,40(17).
[3]彭家雄,周文琳.红外背景抑制与小目标分割检测[J].电子学报.1999,27(12):47-51.
[4]Hilliard C.I.Selection of a clutter rejection algorithm for real-time target detection from an airborne platform[C].Signal and data processing of small targets.2000,4048:74-84.
[5]Reed.I,Gagliardi.R.,Stotts.L.Optical moving target detection with 3-D matched filtering[C].IEEEtransactions on aerospace and electronic systems.1988,24(4):327-336.
[6]Porat.B,Friedlander.B.A frequency domain approach to multi-frame detection and estimation of dim targets[C].IEEE international conference on ICASSP.1987,12:591-594.
[7]Arce.G A general weighted median filters structure admitting negative weights[C].IEEE transactions on signal processing.1998,46(12):3195-3205.
[8]Hoyos.S,Li.Y,Bacca.J,et al.Weighted median filters admitting complex-valued weights and their optimization[C].IEEE transactions on signal processing.2004,52(10):2776-2787.
[9]林长青,孙胜利,陈桂林.复杂背景下含点目标单帧红外图像的预处理[J].激光与红外.2006,36(9):900-903.
[10]Wang.X.Adaptive multistage median filter[C].IEEE transactions on image processing.1992,IP-1(10):543-545.
[11]Pei.J.H,Lu.Z.Q,Xie.W.X.A method for IR point target detection based on spatial-temporal bilateral filter.International conference on pattern recognition.2006,3(3):846-849.
[12]Yang.Q.A hybrid median filter for enhancing dim small point target and its fast implementation[C].IEEE international conference on multimedia and signal processing.2011,239-242.
[13]Che.H,Sun.L.H.A novel method for plane array infrared image to detect point target[C].International conference on information assurance and security.2009,234-240.
[14]Sun.Y.Q,Tian.J.W,Liu.J.Background suppression based on wavelet transformation to detect infrared target[C].Proceedings of the fourth international conference on machine learning and cybernetic.2005:4611-4615.
[15]Zhang.F,Zhang.Z.Y,Lu.H.Z.Dim point target detection based on novel complex background suppression[C].IEEE international conference on computer vision in remote sensing.2012:45-51.
[16]Mazzu.A,Chiappino.S,Marcenaro.L,Regazzoni,C.A switching fusion filter for dim point target tracking in infra-red video sequences[C].IEEE international conference on information fusion.2014:1-6.
[17]Singer.P.F.Analysis and optimization of a class of nonlinear detection filters[C].Signal and data processing of small targets.2001,4473:86-95.
[18]Sworder.D.D,Singer.P.F,Doria.D,Hutchins.R.G.Image-enhanced estimation methods[C].Proceedings of IEEE.1993,81(6):797-814.
[19]Tursun.D,Xiang.G.Y,Hamdulla.A.A particle filter based algorithm for state estimation of dim moving point target in IR image sequence[J].Journal of multimedia.2009,4(6):371-378.
[20]Singer.P.F.Analysis of the cascade of track-before-detect and track-after-detect tracking algorithms[C].SPIE conference on signal and data processing of small targets.1998,3373:156-165.
[21]Liang.S,Bai.B.D,Li.Y.An approach to infrared dim target detection and tracking[J].Intelligent science and intelligent data engineering.2012,7202:258-264.
[22]杨擎宇,汪增福.复杂背景下运动点目标的检测和跟踪[J].模式识别与人工智能.2004,17(3):342-346.
[23]李正周,董能力,金钢.序列图像运动点目标快速检测与跟踪方法[J].红外与激光工程.2002,31(6):473-477.
[24]Otsu.N.A threshold selection method from gray-level histogram[C].IEEE transactions on systems,man and cybernetics.1979,9:62-66.
[25]华漫.基于自适应阈值设置的运动点目标检测算法[J].计算机工程.2010,21:195-196.
[26]刘辉,赵文杰,周健.一种自适应图像分割算法[J].四川兵工学报.2009,12:31-34.
[27]Zhang.F,Li.C.F,Shi.L.Detecting and tracking dim moving point target in IR image sequence[J].Infrared physics and technology.2005,46:323-328.
[28]He.L.S,Xie.L.J,Xie.T,Pan.H.B,Zheng.Y.An effective TBD algorithm for the detection of infrared dim-small moving target in the sky scene[C].Multimedia and signal processing,Communications in computer and information science.2012,346:249-260.
[29]Zhang.H.Y,Gao.Y,Li.T.The detection of multiple dim small targets based on iterative density clustering and SURF descriptor[C].Web information systems engineering.2015,284-291.
[30]Ye.Y.Z,Cai.Y.Z.A spatially adaptive denoising with activity level estimation based method for infrared small target detection[C].Proceeding of the 11th world congress on intelligent control and automation.2014,2911-2917.
[31]Pan.H.B,Song.G.H,Xie.L,Zhao.Y.Detection method for small and dim targets from a time series of images observed by a space-based optical detection system[J].Optical review.2014,21(3):292-297.
[32]Wang.J.P,Sun.H.Y,Han.Y.A method of small target detection based on energy accumulation and morphology in infrared image sequences[C].2010 International conference on computer,mechatronics,control and electronic engineering.2010,263-266.
[33]Wu.B,Ji.H.B.A novel algorithm for point-target detection based on third-order cumulant in infrared image[C].IEEE international conference on signal processing.2006,2.
[34]Zuo.Z.G,Zhao.Y.J.A novel algorithm for detecting dim point target in infrared images based on MRF[C].IEEE symposium on computational intelligence for multimedia,signal and vision.2013,22-29.
[35]Zhang.Y,Wang.M,Niu.S.Q.A novel small dim infrared target detecting method based on grayscale merging and connected components analysis[C].International conference on modelling,identification and control.2012,454-459.
[36]Hamdulla.A,Xiang.G.Y,Turson.D.A particle filter and fuzzy clustering based algorithm for tracking dim moving multiple point targets in IR image sequences[C].2009 world congress on computer science and information engineering.2009,205-209.