• Acta Optica Sinica
  • Vol. 32, Issue 6, 611001 (2012)
Zhou Yulong*, He Yongqiang, and Zhang Weian
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/aos201232.0611001 Cite this Article Set citation alerts
    Zhou Yulong, He Yongqiang, Zhang Weian. Multi-Target Threat Assessment of the Infrared Fisheye System[J]. Acta Optica Sinica, 2012, 32(6): 611001 Copy Citation Text show less
    References

    [1] Liu Yanbing, Liu Fuxian. Air-attack targets threat evaluation method based on fuzzy neural network[J]. Tactical Missile Technology, 2005, 3: 9~12

    [2] Wojciech Komorniczak, Jerzy Pietrasinski, Bassel Solaiman. Data fusion approach to the threat assessment for the radar resources management[C]. SPIE, 2002, 4731: 196~203

    [3] Gao Junliang, Wang Hongsheng, Shen Haihua. Air-attack targets threat evaluation method based on fuzzy multi-objective decision making[J]. Command Control & Simulation, 2006, 28(3): 44~47

    [4] Hong Lihua, Luo Junping, Liu Yibin. Object threat evaluation based on principal components analysis[J]. Command Control & Simulation, 2006, 28(2): 49~52

    [5] Chen Ke, Liu Shichang, Wang Xingjun. Application of AHP improvement for target threat grade estimation[J]. Command Control & Simulation, 2006, 28(1): 108~110

    [6] Qu Changwen, He You. A method of threat assessment using multiple attribute decision making[C]. ICSP′02 Proc., 2002, 2: 1091~1095

    [7] Wu Zhihui, Zhang Duolin. A model for the air targets threat evaluation based on fuzzy theory[J]. Fire Control & Command Control., 2005, 30(4): 92~94

    [8] Ge Zhexue, Sun Zhiqiang. Neural Network Theory and Matlab R2007 Realization[M]. Beijing: Publishing House of Electronics Industry, 2008

    [9] Zhang Jian, Yang Rui. Prediction on light intensity distribution of laser welding melt pool based on radial basis function neural network[J]. Chinese J. Lasers, 2010, 37(7): 1856~1860

    [10] Lorenzo Bruzzone, Roberto Cossu. An RBF neural network approach for detecting land-cover transitions[C]. SPIE, 2010, 4541: 223~231

    [11] Lu Jiahui, Wang Di, Shen Wei et al.. The radial basis function neural network quantitative analysis model for determination of anti-tuberculosis tablets using near infrared spectroscopy[J]. Acta Optica Sinica, 2009, 29(2): 459~463

    [12] Zhang Yibo, He Huan, Meng Qingfan et al.. Application of near infrared reflectance spectroscopy-radial basis function neural network for non-destructive determ ination of coriolus versicolor[J]. Acta Optica Sinica, 2010, 30(12): 3552~3557

    [13] Y. J. Roh, H. S. Cho. Image reconstruction in X-ray tomography using a radial basis function (RBF) neural network[C]. SPIE, 2010, 4564: 35~46

    [14] G. Chen, L. Zhou, Z. Zhu et al.. RBF neural network based prediction for target tracking in chain-type wireless sensor networks[C]. ICACC 2010, 2: 635~639

    [15] Zhang Defeng. Matlab Neural Network Application Design[M]. Beijing: China Machine Press, 2009

    [16] Tian Shuxin, Sun Shengchun. Model of threat evaluation ordering based on MA[J]. Information Command Control System & Simulation Technology, 2005, 27(6): 11~13

    [17] Chen Kaizhou. Optimization Calculation Method[M]. Xi′an: Northwest Institute of Telecommunication Engineering Northwest Press, 1985

    [18] Lin Jiayu, Liu Ying. Learning rate refining for gradient descent method of RBF neural networks[J]. Signal Processing, 2002, 18(1): 43~48

    Zhou Yulong, He Yongqiang, Zhang Weian. Multi-Target Threat Assessment of the Infrared Fisheye System[J]. Acta Optica Sinica, 2012, 32(6): 611001
    Download Citation