Citation: | ZHAO Jian-chuan, WANG Di-nan, CHEN Chang-qing, GUO Jin. Infrared laser active imaging and recognition technology[J]. Chinese Optics, 2013, 6(5): 795-802. doi: 10.3788/CO.20130605.0795 |
[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] 张建,张雷,曾飞,等. 机载激光3D探测成像系统的发展现状[J]. 中国光学,2011,4(3):213-232. ZHANG J,ZHANG L,ZENG F,et al.. Development status of airborne 3D imaging lidar systems[J]. Chinese Optics,2011,4(3):213-232.(in Chinese)
[3] 王智,贾书洪,张晓辉,等. 激光主动成像的多帧后处理算法研究[J]. 光学 精密工程,2007,15(4):615-621. WANG ZH,JIA SH H,ZHANG X H,et al.. Multiframe post processing algorithm of laser active imaging images[J]. Opt. Precision Eng.,2007,15(4):615-621.(in Chinese)
[4] 张晟翀,唐树威,朱海波. 激光主动成像技术研究[J]. 光电技术应用,2009,24(3):9-12. ZHANG SH C,TANG SH W,ZHU H B. Laser active imaging technology[J]. Electro-Aptic Thchnology Appl.,2009,24(3):9-12.(in Chinese)
[5] 庞春颖,张涛. 激光主动成像系统探测距离的计算与仿真[J]. 电光与控制,2008,15(2):70-73. PANG CH Y,ZHANG T. Operation range of laser active imaging system computation and simulation[J]. Electronics Optic & Control,2008,15(2):70-73.(in Chinese)
[6] 刘秉琦,周文武,武东生,等. 双通道激光主动探测系统[J]. 光学 精密工程,2012,20(2):241-246. LIU B A,ZHOU W W,WU D SH,et al.. Dual-channel active laser detection system[J]. Opt. Precision Eng.,2012,20(2):214-246.(in Chinese)
[7] 孙欣. 军用目标识别系统的研究与应用[J]. 光学与光电技术,2012,10(5):80-83. SUN X. Research and application of military target identification systems[J]. Opt. Optoelectronic Technol.,2012,10(5):80-83.(in Chinese)
[8] 孙红辉,王红霞,田涛. 一种基于不变矩和BP网络的目标识别方法[J]. 微电子学与计算机,2011,28(3):63-69. 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)
[9] 田华,石圣羽,宗晓萍. 基于不变矩特征及BP神经网络的图像模式识别[J]. 河北大学学报,2008,28(2):214-217. TIAN H,SHI SH Y,ZONG X P. Pattern recognition based on moment invariant feature and BP neural network for image[J]. J. Hebei University,2008,28(2):214-217.(in Chinese)
[10] 郭婉露. 红外图像目标识别及跟踪技术研究[D].哈尔滨:哈尔滨工程大学,2011. GUO W L. Researches for infrared image target identification and tracking technology [D]. Harbin:Harbin Engineering University,2011.(in Chinese)
[11] 吕砚山,赵正琦. BP神经网络的优化及应用研究[J]. 北京化工大学学报,2001,28(1):67-69. LV Y SH,ZHAO ZH Q. Optimization and application research of BP neural network[J]. J. Beijing University Chem. Technology,2001,28(1):67-69.(in Chinese)
[12] 刘天舒. BP神经网络的改进研究及应用[D].哈尔滨:东北农业大学,2011. LIU T SH. The research and application on BP neural network improvement [D]. Harbin:Northeast Agricultural University,2011.(in Chinese)
[13] 冯伟兴,唐墨,贺波.Visual C+ +数字图像模式识别技术详解[M]. 北京:机械工业出版社,2011. FENG W X,TANG M,HE B. Digital image pattern recognition programming using Visual C+ +[M]. Beijing:China Machine Press,2011.(in Chinese)
[14] 李鹏,王乐新,赵志敏. 基于概率神经网络的荧光光谱法识别高甘油三脂血清[J]. 发光学报,2011,32(11):1192-1196. LI P,WANG L X,ZHAO ZH M. Hypertriglyceridemia serum recognition using fluorescence spectroscopic analysis based on probabilistic neural networks[J]. Chinese J. Luminescence,2011,32(11):1192-1196.(in Chinese)
|