CONG Ming-yu, HE Wen-jia, BAO Wen-zhuo, ZHANG Yin, WANG Gang. Suppression of cluttered cloud image background by time series multi-frame projection[J]. Editorial Office of Optics and Precision Engineering, 2012,(4): 826-834
CONG Ming-yu, HE Wen-jia, BAO Wen-zhuo, ZHANG Yin, WANG Gang. Suppression of cluttered cloud image background by time series multi-frame projection[J]. Editorial Office of Optics and Precision Engineering, 2012,(4): 826-834 DOI: 10.3788/OPE.20122004.0826.
Suppression of cluttered cloud image background by time series multi-frame projection
To improve the capability of space-based surveillance for space targets
this paper researches the Moving Target Indicator (MTI) based on time-domain projecting image sequences for suppressing starry sky background.The MTI has been used in a spaceborn signal processor on the USA Midcourse Space Experiment for target detection and tracking. According to the in-depth study of MTI algorithm
a new method is proposed to suppress the background of cluttered cloud based on the standardized maximum projection of temporal difference. The mathematical principle and the operator design method of temporal projection are given. Then
considering the statistical characteristics of cluttered cloud
the two Improved MTIs(IMTIs)
namely
the temporal difference operator on an adjacent frame and the estimated median operator
are introduced to the MTI to enhance the clutter suppression. Finally
the experimental method based on the cloud background data acquired is designed to analyze the algorithm performance of different projection methods as well as the main factors affecting on the algorithm. The experimental results show that the output Signal-to-clutter Ratio(SCR) of IMTI reaches more than 5.8 when the input SCR of a small target is less 2.0
which has been improved by 1 in average as compared with that of MTI.It concludes that the IMTI can effectively solve the dim target detection problem of cluttered cloud image background.
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秦翰林,周慧鑫,刘群昌,等. 采用多尺度隐式马尔可夫模型的红外图像背景抑制[J]. 光学 精密工程,2011,19(8):1950-1956. QIN H L, ZHOU H X, LIU Q CH, et al.. Suppression of infrared image background by multiscale hidden Markov model [J]. Opt. Precision Eng., 2011,19(8):1950-1956. (in Chinese)[2] 孟祥龙,张伟,丛明煜,等. 天基红外图像的点目标检测[J]. 光学 精密工程,2010,18(9):2094-2010. MENG X L, ZHANG W, CONG M Y, et al.. Detection of point targets in space-based infrared image [J]. Opt. Precision Eng., 2010,18(9):2094-2010. (in Chinese)[3] 曹琦,王德江,张齐,等. 红外点目标检测中的能量积累[J]. 光学 精密工程,2010,18(3):741-747. CAO Q, WANG D J, ZHANG Q, et al.. Energy accumulation in infrared point target detection [J]. Opt. Precision Eng.,2010,18(3):741-747. (in Chinese)[4] 王学伟,王春歆,张玉叶,等. 空间小目标动态规划检测[J]. 光学 精密工程,2010,18(2):477-484. WANG X W, WANG CH X, ZHANG Y Y, et al.. Detection of space target by dynamic programming [J]. Opt. Precision Eng., 2010,18(2):477-484. (in Chinese)[5] REED I S, GAGLIARDI R M, SHAO H M. Application of three-dimensional filtering to moving target detection [J]. IEEE Trans. on AES.,1983,19(2):898-905.[6] CHU P L. Optimal projection for multidimensional signal detection [J]. IEEE Trans. on ASSP, 1988,36(5):775-786.[7] CHU P L. Efficient detection of small moving objects. Lexington, MA: Lincoln Laboratory, MIT, 1989.[8] 陈颖,刘镰斧,李在铭. 一种微弱点运动目标的快速统计检测算法[J]. 电子学报,2001,29(12):1707-1709. CHEN Y, LIU L F, LI Z M. A fast detection algorithm of dim point moving target using statistical analysis [J]. Acta Electronica Sinca, 2001,29(12):1707-1709. (in Chinese)[9] 陈非,敬忠良,李建勋. 红外序列图像中缓动点目标的投影检测算法及其改进[J]. 红外与毫米波学报,2003,22(2):96-100. CHEN F, JING ZH L, LI J X. Improvement to projection detection of slowly moving point target in infrared image sequences [J]. J. Infrared Millim. Wave, 2003,22(2):96-100.(in Chinese)[10] 孙立辉,周冰,应家驹,等. 用高阶累积量投影法检测红外弱小目标[J]. 光电工程,2008,35(9):6-10. SUN L H, ZHOU B, YING J J, et al.. Detecting infrared dim and small target with high-order cumulant projection [J]. Opto-Electronic Engineering, 2008,35(9):6-10. (in Chinese)[11] ALEXIS P T. Detection of small targets in infrared image sequences containing evolving cloud clutter. Boston, MA: Northeastern University, 1998.[12] 孙新德,薄树奎,李玲玲. 基于背景估计的红外图像杂波背景抑制方法研究[J]. 激光与红外,2011,41(5):586-590. SUN X D, BO SH K, LI L L. Study of infrared image clutter suppression based on background estimation [J]. Laser & Infrared, 2011,41(5):586-590. (in Chinese)[13] 吴爽,刘铮,刘钦. 基于数学形态学的红外图像预处理算法分析[J]. 制导与引信,2010,31(4):20-25. WU SH, LIU ZH, LIU Q. Study of methods for infrared imaging preprocessing based on mathematical morphology [J]. Guidance & Fuze, 2010,31(4):20-25. (in Chinese)[14] 张毅刚,曹阳,项学智. 基于形态学Top-hat滤波的红外小目标检测[J]. 计算机测量与控制,2011,19(6):1269-1272. ZHANG Y G, CAO Y, XIANG X ZH. IR small target detection based on morphological Top-hat filter [J]. Computer Measurement & Control, 2011,19(6):1269-1271.(in Chinese)[15] 杨效余,张天序. 一种基于复杂地物背景图像的目标识别方法[J]. 系统工程与电子技术,2011,33(1):13-16. YANG X S, ZHANG T X. Method of target recognition from images based on complex natural scenes [J]. Systems Engineering and Electronics, 2011,33(1):13-16.(in Chinese)[16] 陈忠链,郭德媛.探索性数据分析[M]. 北京:中国统计出版社,1998. CHEN ZH L, GUO D Y. Understanding Robust and Exploratory Data Analysis [M]. BeiJing: China Statistics Press, 1998.(in Chinese)