• Chinese Optics Letters
  • Vol. 9, Issue 7, 070101 (2011)
Jianlai Wang and Chunling Yang
Author Affiliations
  • School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
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    DOI: 10.3788/COL201109.070101 Cite this Article Set citation alerts
    Jianlai Wang, Chunling Yang. Exo-atmospheric target discrimination using probabilistic neural network[J]. Chinese Optics Letters, 2011, 9(7): 070101 Copy Citation Text show less
    References

    [1] T. A. Postol, "Explanation of why the sensor in the exoatmospheric kill vehicle (EKV) cannot reliably discriminate decoys from warheads", http://fas.org/spp/starwars/program/news00/postol atta.pdf (May 11, 2000).

    [2] T. A. Postol, "Technical discussion of the misinterpreted results of the IFA-1A experiment due to tampering with the data and analysis and errors in the interpretation of the data", http://fas.org/spp/starwars/program/news00/postol attb.pdf (May 11, 2000).

    [3] H. Zhang, Kybernetes 39, 1366 (2010).

    [4] X. Huang, R. Zhang, and J. Pang, Chin. Opt. Lett. 7, 1004 (2009).

    [5] J. Wang, G. Chen, T. Zhu, S. Gao, B. Wei, and L. Bi, Chin. Opt. Lett. 7, 1058 (2009).

    [6] R. M. Balabin and E. I. Lomakina, J. Chem. Phys. 131, 074104 (2009).

    [7] C. L. Resch, Johns Hopkins APL Technical Digest 19, 315 (1998).

    [8] D.-T. Lin, J. Inform. Sci. Eng. 20, 959 (2004).

    [9] B. Zhang, "Point target detection and recognition algorithms in optical image terminal homing system" (in Chinese) PhD. Thesis (National University of Defense Technology, Changsha, 2005).

    [10] T. Liu, J. Lv, S. Wang, and H. Lu, J. Electron. Inform. Technol. (in Chinese) 32, 80 (2010).

    [11] L. Cao, C. Wu, Q. Hou, and W. Zhang, Opt. Tech. (in Chinese) 36, 145 (2010).

    [12] S. Li, B. Zhang, L. Gao, and M. Peng, Acta Opt. Sin. (in Chinese) 30, 2116 (2010).

    Data from CrossRef

    [1] Yabei Wu, Huanzhang Lu, Fei Zhao, Zhiyong Zhang. Estimating Shape and Micro-Motion Parameter of Rotationally Symmetric Space Objects from the Infrared Signature. Sensors, 16, 1722(2016).

    [2] Wu, Lu, Hu, Zhao. Independent Random Recurrent Neural Networks for Infrared Spatial Point Targets Classification. Applied Sciences, 9, 4622(2019).

    [3] Qiuqun Deng, Huanzhang Lu, Moufa Hu, Bendong Zhao. Exo-atmospheric infrared objects classification using recurrence-plots-based convolutional neural networks. Applied Optics, 58, 164(2019).

    Jianlai Wang, Chunling Yang. Exo-atmospheric target discrimination using probabilistic neural network[J]. Chinese Optics Letters, 2011, 9(7): 070101
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