基于涨落分析的暗弱运动目标关联检测

邓昊; 郑伟; 李明涛; 孙海彬; 王建峰; 周炳红

doi:10.37188/OPE.20202811.2517

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基于涨落分析的暗弱运动目标关联检测

近地小天体监测和预警 | 更新时间：2020-12-09

- 基于涨落分析的暗弱运动目标关联检测
- Dim moving target detection based on fluctuation analysis
- 光学精密工程 2020年28卷第11期页码：2517-2526
- 作者机构：
  
  1.中国科学院国家空间科学中心, 北京 100190
  2.中国科学院大学, 北京 100049
  3.中国科学院上海技术物理研究所中国科学院智能红外感知重点实验室, 上海 200083
  4.中国科学院光学天文重点实验室, 北京 100101
- 作者简介：
  
  [ "邓昊(1995-), 男, 湖北利川人, 硕士研究生, 2018年于北京航空航天大学获得学士学位, 主要从事图像处理与微弱信号检测方面的研究。E-mail:denghao@buaa.edu.cn" ]
  郑伟(1974-), 男, 河南郑州人, 工学博士, 副研究员, 硕士生导师, 1996年于西北工业大学获得学士学位, 2001年于中科院西安光学精密机械研究所获得硕士学位, 2009年于中科院国家空间中心获得博士学位, 主要从事微弱信号处理、非线性信号处理与天基信息处理方面的研究。E-mail:zhengwei@nssc.ac.cn ZHENG Wei, E-mail:zhengwei@nssc.ac.cn
- 基金信息：
  
  北京市重大科技专项课题资助项目(Z181100002918004);中国科学院智能红外感知重点实验室开放课题(CAS-IIRP-2020-04);某重点实验室基金资助项目(6142503190303)
- DOI：10.37188/OPE.20202811.2517
  中图分类号： TP391.41
- 收稿日期：2020-05-07，
  
  修回日期：2020-06-19，
  
  录用日期：2020-6-19，
  
  纸质出版日期：2020-11-25
- 稿件说明：
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邓昊, 郑伟, 李明涛, 等. 基于涨落分析的暗弱运动目标关联检测[J]. 光学精密工程, 2020,28(11):2517-2526.

Hao DENG, Wei ZHENG, Ming-tao LI, et al. Dim moving target detection based on fluctuation analysis[J]. Optics and precision engineering, 2020, 28(11): 2517-2526.
邓昊, 郑伟, 李明涛, 等. 基于涨落分析的暗弱运动目标关联检测[J]. 光学精密工程, 2020,28(11):2517-2526. DOI： 10.37188/OPE.20202811.2517.

Hao DENG, Wei ZHENG, Ming-tao LI, et al. Dim moving target detection based on fluctuation analysis[J]. Optics and precision engineering, 2020, 28(11): 2517-2526. DOI： 10.37188/OPE.20202811.2517.

摘要

针对近地小天体监测和预警中极低信噪比运动目标难以检测的问题，提出了基于涨落分析的暗弱运动目标关联检测方法，阐述了在时间区间上基于光场涨落分析的关联特征提取方法的原理。强背景信号的涨落在时间维度上具有稳定分布和稳定变化的特点，利用由目标运动导致的瞬态涨落在时间维度上分布的异常变化反演出暗弱运动目标的存在。首先将目标检测问题建模为基于单个像元灰度时序序列的一维信号检测问题，然后在时域上划分时间窗口，采用基于涨落分析的方法来提取关联特征，最后由关联特征的变化来检测目标信号。将该关联检测方法应用到一维时序信号仿真实验、暗弱运动目标仿真实验和近地小行星检测实验中，结果表明本文所提出方法的检测率和虚警率都显著优于其它几种经典常用方法，在仿真数据和真实数据中都有很好的检测效果。

Abstract

To detect moving targets with very low SNRs for monitoring small objects near the ground and providing early warnings regarding such objects

a dim moving target detection method based on fluctuation analysis was proposed. Furthermore

the principle of a correlation feature extraction method based on the fluctuation analysis of a light field in a time interval was expounded. Strong background signals were distributed and changed steadily in the time dimension. Transient fluctuation in the time dimension

caused by the movement of a target

reflected the existence of a weak moving target. First

a one-dimensional signal model based on single pixel gray-scale time series was established. Then

the time window was divided in the time domain

and fluctuation analysis was used to extract related features. Finally

the target signal was detected based on changes in the correlation feature. The method was applied to one-dimensional time-series signal simulation

dim moving target simulation

and a near-Earth asteroid detection experiment. The experimental results show that the detection rate and false alarm rate of the proposed method are significantly better than those of several other commonly used methods. This method provides good detection using simulated and real data.

关键词

Keywords

references

M SHAO , B J NEMATI , CH X ZHAI , 等 . Finding very small near-earth asteroids using synthetic tracking . The Astrophysical Journal , 2014 . 782 ( 1 ): 1 - 10 . http://arxiv.org/abs/1309.3248 http://arxiv.org/abs/1309.3248 .

L B MARTIN . A fast discrete approximation algorithm for the radon trans-form . SIAM Journal on Computing , 1998 . 27 ( 1 ): 107 - 119, 1998 . DOI: 10.1137/S0097539793256673 http://doi.org/10.1137/S0097539793256673 .

JULIAN B. ROAD : Rapid Optical Asteroid Detection [D]. Cambridge: Massachusetts Institute of Technology, 2016.

夏均忠 , 刘远宏 , 冷永刚 , 等 . 微弱信号检测方法的现状分析 . 噪声与振动控制 , 2011 . 31 ( 3 ): 156 - 161 . http://d.wanfangdata.com.cn/Periodical/zsyzdkz201103037 http://d.wanfangdata.com.cn/Periodical/zsyzdkz201103037 .

J ZH XIA , Y H LIU , Y G LENG , 等 . Analysis of current status of weak signal detection methods . Noise and Vibration Control , 2011 . 31 ( 3 ): 156 - 161 . http://d.wanfangdata.com.cn/Periodical/zsyzdkz201103037 http://d.wanfangdata.com.cn/Periodical/zsyzdkz201103037 .

F Y HUANG , X J SHEN , X M LIU . Detection of super wide-field infrared target based on spatial-temporal fusion processing . Opt. Precision Eng. , 2015 . 23 ( 8 ): 2328 - 2338 . DOI: 10.3788/OPE.20152308.2328 http://doi.org/10.3788/OPE.20152308.2328 .

J N LIN , X NIE , R UNBEHAUEN . Two-dimensional LMS adaptive filter incorporating a local-mean estimator for image processing . IEEE Transactions on Circuits and Systems Ⅱ Analog and Digital Signal Processing , 1993 . 40 ( 7 ): 417 - 428 .

J F KHAN , M S ALAM . Efficient target detection in cluttered FLIR imagery . Proceedings of SPIE-The International Society for Optical Engineering , 2005 . 5816 39 - 53 . http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=864759 http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=864759 .

FARAJZADEH M, MAHMOODI A, ARVAN M R. Detection of small target based on morphological filters[C]. Conference on Electrical Engineering. IEEE , 2012: 1097-1101.

G DAVISON , H D GRIFFITHS . Wavelet detection scheme for small targets in sea clutter . Electronics Letters , 2002 . 38 ( 19 ): 1128 DOI: 10.1049/el:20020790 http://doi.org/10.1049/el:20020790 .

G LIU , Y YOU , S ZHENG , 等 . Moving target detection based on improved mixture gauss model . Communications in Computer & Information Science , 2012 . 346 261 - 266 . http://link.springer.com/chapter/10.1007/978-3-642-35286-7_33 http://link.springer.com/chapter/10.1007/978-3-642-35286-7_33 .

HE L H, GE L. Cam shift target tracking based on the combination of inter-frame difference and background difference[C]. Chinese Control Conference ( CCC ). IEEE , 2018: 9461-9465.

刘洪彬 , 常发亮 . 权重系数自适应光流法运动目标检测 . 光学精密工程 , 2016 . 24 ( 2 ): 460 - 468 . http://ope.lightpublishing.cn/thesisDetails?columnId=1809082&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=1809082&Fpath=&index=-1&l=zh .

H B LIU , F L CHANG . Moving object detection by optical flow method based on adaptive weight coefficient . Opt. Precision Eng. , 2016 . 24 ( 2 ): 460 - 468 . http://ope.lightpublishing.cn/thesisDetails?columnId=1809082&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=1809082&Fpath=&index=-1&l=zh .

S C POHLIG . Spatial-temporal detection of electro-optic moving targets . IEEE Transactions on Aerospace and Electronic Systems , 1995 . 31 ( 2 ): 608 - 616 . DOI: 10.1109/7.381909 http://doi.org/10.1109/7.381909 .

LI X, WANG S, ZHENG D. A DP-TBD algorithm with adaptive state transition set for maneuvering targets[C]. IEEE CIE International Conference on Radar ( RADAR ), 2016: 1-4.

林建粦 , 平西建 , 马德宝 . 采用DBT的漂移扫描星图小目标检测方法 . 红外与激光工程 , 2013 . 42 ( 12 ): 3440 - 3446 . http://qikan.cqvip.com/Qikan/Article/Detail?id=48274685 http://qikan.cqvip.com/Qikan/Article/Detail?id=48274685 .

J L LIN , X J PING , D B MA . Small target detection method in drift-scanning image based on DBT . Infrared and Laser Engineering , 2013 . 42 ( 12 ): 3440 - 3446 . http://qikan.cqvip.com/Qikan/Article/Detail?id=48274685 http://qikan.cqvip.com/Qikan/Article/Detail?id=48274685 .

徐英 , 谷雨 , 彭冬亮 , 等 . 基于DRGAN和支持向量机的合成孔径雷达图像目标识别 . 光学精密工程 , 2020 . 28 ( 3 ): 727 - 735 . http://ope.lightpublishing.cn/thesisDetails?columnId=2126352&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=2126352&Fpath=&index=-1&l=zh .

Y XU , Y GU , D L PENG , 等 . SAR ATR based on disentangled representation learning generative adversarial networks and support vector machine . Opt. Precision Eng. , 2020 . 28 ( 3 ): 727 - 735 . http://ope.lightpublishing.cn/thesisDetails?columnId=2126352&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=2126352&Fpath=&index=-1&l=zh .

张乾.基于随机森林的视觉数据分类关键技术研究[D].广州: 华南理工大学, 2016.

ZHANG Q. Visual Data Classification Based on Random Forests [D]. Guangzhou: South China University of Technology, 2016. (in Chinese)

范丽丽 , 赵宏伟 , 赵浩宇 , 等 . 基于深度卷积神经网络的目标检测研究综述 . 光学精密工程 , 2020 . 28 ( 5 ): 1152 - 1164 . http://ope.lightpublishing.cn/thesisDetails?columnId=2124482&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=2124482&Fpath=&index=-1&l=zh .

LL FAN , H W ZHAO , H Y ZHAO , 等 . Survey of target detection based on deep convolutional neural networks . Opt. Precision Eng. , 2020 . 28 ( 5 ): 1152 - 1164 . http://ope.lightpublishing.cn/thesisDetails?columnId=2124482&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=2124482&Fpath=&index=-1&l=zh .

马立 , 巩笑天 , 欧阳航空 . Tiny YOLOV3目标检测改进 . 光学精密工程 , 2020 . 28 ( 4 ): 988 - 995 . http://ope.lightpublishing.cn/thesisDetails?columnId=1432489&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=1432489&Fpath=&index=-1&l=zh .

L MA , X T GONG , H K OUYANG . Improvement of Tiny YOLOV3 target detection . Opt. Precision Eng. , 2020 . 28 ( 4 ): 988 - 995 . http://ope.lightpublishing.cn/thesisDetails?columnId=1432489&Fpath=&index=-1&l=zh http://ope.lightpublishing.cn/thesisDetails?columnId=1432489&Fpath=&index=-1&l=zh .

赵磊 , 俞信 , 陈翼男 , 等 . 光子图像中基于广义似然比检验的目标探测方法 . 光学学报 , 2010 . 30 ( 1 ): 91 - 96 . http://www.cqvip.com/Main/Detail.aspx?id=32921569 http://www.cqvip.com/Main/Detail.aspx?id=32921569 .

L ZHAO , X YU , Y N CHEN , 等 . Object detection method based on generalized likelihood ratio tests method in photon images . Acta Optica Sinica , 2010 . 30 ( 1 ): 91 - 96 . http://www.cqvip.com/Main/Detail.aspx?id=32921569 http://www.cqvip.com/Main/Detail.aspx?id=32921569 .

寇松峰. APD光子计数成像技术研究[D].南京: 南京理工大学, 2010.

KOU S F. Research on APD Photon Counting Imaging Technology [D]. Nanjing: Nanjing University of Science and Technology, 2010. (in Chinese)

岳付昌 . 基于最大中值滤波和K-means聚类红外弱小目标检测 . 光电应用技术 , 2018 . ( 5 ): 41 - 43 . http://www.cnki.com.cn/Article/CJFDTotal-GDYG201805012.htm http://www.cnki.com.cn/Article/CJFDTotal-GDYG201805012.htm .

F CH YUE . Infrared dim and small target detection based on max-median filter and K-means clustering algorithm . Chinese Journal of Lasers , 2018 . ( 5 ): 41 - 43 . http://www.cnki.com.cn/Article/CJFDTotal-GDYG201805012.htm http://www.cnki.com.cn/Article/CJFDTotal-GDYG201805012.htm .

S D DESHPANDE , M H ER , V RONDA , 等 . Max-Mean and Max-Median filters for detection of small-targets . Proceedings of SPIE the International Society for Optical Engineering , 1999 . 3809 74 - 83 . http://spie.org/Publications/Proceedings/Paper/10.1117/12.364049 http://spie.org/Publications/Proceedings/Paper/10.1117/12.364049 .

J HAN , K LIANG , B ZHOU , 等 . Infrared small target detection utilizing the multiscale relative local contrast measure . IEEE Geoscience & Remote Sensing Letters , 2018 . 1 - 5 . http://ieeexplore.ieee.org/document/8289318 http://ieeexplore.ieee.org/document/8289318 .

C GAO , D MENG , Y YANG , 等 . Infrared patch-image model for small target detection in a single image . IEEE Transactions on Image Processing , 2013 . 22 ( 12 ): 4996 - 5009 . DOI: 10.1109/TIP.2013.2281420 http://doi.org/10.1109/TIP.2013.2281420 .

X Z BAI , F G ZHOU . Analysis of new top-hat transformation and the application for infrared dim small target detection . Pattern Recognition , 2010 . 43 ( 6 ): 2145 - 2156 . DOI: 10.1016/j.patcog.2009.12.023 http://doi.org/10.1016/j.patcog.2009.12.023 .

王凯 , 吴敏 , 姚辉 , 等 . 多帧背景差与双门限结合的运动目标检测方法 . 小型微型计算机系统 , 2017 . 38 ( 1 ): 179 - 183 . http://d.wanfangdata.com.cn/Periodical/xxwxjsjxt201701035 http://d.wanfangdata.com.cn/Periodical/xxwxjsjxt201701035 .

K WANG , M WU , H YAO , 等 . Moving target detection method based on multi-frame background subtraction and doublethreshold . Journal of Chinese Computer Systems , 2017 . 38 ( 1 ): 179 - 183 . http://d.wanfangdata.com.cn/Periodical/xxwxjsjxt201701035 http://d.wanfangdata.com.cn/Periodical/xxwxjsjxt201701035 .

L Z DENG , H ZHU , C TAO , 等 . Infrared moving point target detection based on spatial-temporal local contrast filter . Infrared Physics & Technology , 2016 . 76 168 - 173 . http://www.sciencedirect.com/science/article/pii/S1350449516300366 http://www.sciencedirect.com/science/article/pii/S1350449516300366 .

W L NIU , W ZHENG , Z YANG , 等 . Moving point target detection based on higher order statistics in very low SNR . IEEE Geoscience and Remote Sensing Letters , 2018 . 15 ( 2 ): 217 - 221 . DOI: 10.1109/LGRS.2017.2781229 http://doi.org/10.1109/LGRS.2017.2781229 .

Q LUO , Y F WANG . Early warning radar clutter suppression and dim moving target detection algorithm . Journal of Beijing University of Technology , 2012 . 38 ( 3 ): 369 - 373 . http://doi.ieeecomputersociety.org/10.1109/ISDEA.2010.300 http://doi.ieeecomputersociety.org/10.1109/ISDEA.2010.300 .

董潇潇 , 何小海 , 吴晓红 , 等 . 基于注意力掩模融合的目标检测算法 . 液晶与显示 , 2019 . 34 ( 8 ): 825 - 833 . http://www.cnki.com.cn/Article/CJFDTotal-YJYS201908013.htm http://www.cnki.com.cn/Article/CJFDTotal-YJYS201908013.htm .

X X DONG , X H HE , X H WU , 等 . Object detection algorithm based on attention mask fusion . Chinese Journal of Liquid Crystals and Displays , 2019 . 34 ( 8 ): 825 - 833 . http://www.cnki.com.cn/Article/CJFDTotal-YJYS201908013.htm http://www.cnki.com.cn/Article/CJFDTotal-YJYS201908013.htm .

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