Optics and Precision Engineering, Volume. 22, Issue 6, 1639(2014)
Laser active imaging and recognition system based on double hidden layer BP algorithm
[1] [1] DAYTON D, BROWNE S, GONGLEWSKI J. Long-range laser illuminated imaging: analysis and experimental demonstration[J]. Opt. Eng.,2001, 40(6):1001-1009.
[2] [2] NIE R J, XU ZH Y, ZHANG Q H, et al.. Analysis on target acquisition performance of long-range IR active imaging system [J]. Infrared and Laser Engineering, 2012,41(9): 2276-2282. (in Chinese)
[5] [5] YANG H L. Research on target recognition and tracking used in laser active reconnaissance[D]. Chengdu: University of Electronic Science and Technology of China, 2009. (in Chinese)
[6] [6] L Y SH, ZHAO ZH Q. Optimization and application research of BP neural network [J]. Journal of Beijing University of Chemical Technology,2001,28(1):67-69. (in Chinese)
[7] [7] SUN H H, WANG H X, TIAN T. The recognition method of objects based on moment invariant and BP neural network[J]. Microelectronics & Computer, 2011, 28(3): 63-69. (in Chinese)
[8] [8] TIAN H, SHI SH Y, ZONG X P. Pattern recognition based on moment invariant feature and BP neural network for image [J]. Journal of Hebei University, 2008, 28(2):214-217. (in Chinese)
[9] [9] LIU T SH. The research and application on BP neural network improvement [J]. Harbin: Northeast Agricultural University, 2011. (in Chinese)
[10] [10] GUO W L. Researches for infrared image target identification and tracking technology[D]. Harbin: Harbin Engineering University, 2011. (in Chinese)
Get Citation
Copy Citation Text
WANG Can-jin, SUN Tao, SHI Ning-ning, WANG Rui, WANG Ting-feng, WANG Wei-bing, GUO Jin, CHEN Juan. Laser active imaging and recognition system based on double hidden layer BP algorithm[J]. Optics and Precision Engineering, 2014, 22(6): 1639
Category:
Received: Apr. 10, 2013
Accepted: --
Published Online: Jun. 30, 2014
The Author Email: Can-jin WANG (wcj@mail.ustc.edu.cn)