Optics and Precision Engineering, Volume. 17, Issue 9, 2311(2009)
Approach to dim and small target detection based on fuzzy classification
[1] [1] TZANNES A P,BROOKS D H. Detecting small moving objects using temporal hypothesis testing [J]. IEEE Transactions on Aerospace and Electronic Systems,2002,38(2):570-586.
[2] [2] RONDA V,NEW W L,TAN M H,et al.. Adaptive threshold-based spatio-temporal filtering techniques for detection of small targets [J]. IEEE Transactions on Aerospace and Electronic Systems,2001,37(3):832-848.
[3] [3] WEI Y,SHI Z L,YU H B. An automatic target detection algorithm based on wavelet analysis for infrared image small targetin background of sea and sky [J]. SPIE,2000,4048:58-67.
[4] [4] GAO Y H,LI J CH,SHEN ZH K. Detection of moving small target in IR clutter background containing sea and sky areas[J]. SPIE ,2005,5640:341-349.
[5] [5] GUO Y,ZHANG Y,GU Y F,et al.. Infrared image background suppression based on 2nd generationCurvelet transform and ProbShrink algorithm[J]. Opt. Precision Eng.,2008,16(10):1988-1994. (in Chinese)
[9] [9] ZHANG B Y,ZHANG T X,ZHANG K,et al.. Adaptive rectification filter for detecting small IR targets [J]. IEEE Transactions on Aerospace and Electronic Systems,2007,22(8):20-26.
[10] [10] ZAVERI M A,MERCHANT S N,DESAI U B. Desai: multiple single pixel dim target detection in infrared image sequence [C]. Proc. IEEE International Symposiumon Circuits and Systems,2003(2):380-383
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LI Xin, ZHAO Yi-gong, CHEN Bing, XUE Jing. Approach to dim and small target detection based on fuzzy classification[J]. Optics and Precision Engineering, 2009, 17(9): 2311
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Received: Dec. 8, 2008
Accepted: --
Published Online: Oct. 28, 2009
The Author Email: LI Xin (snow_sky0213@yahoo.com.cn)
CSTR:32186.14.