• Acta Optica Sinica
  • Vol. 37, Issue 11, 1128004 (2017)
Yunpeng Wang, Yihua Hu*, Wuhu Lei, and Liren Guo
Author Affiliations
  • State Key Laboratory of Pulsed Power Laser Technology, Electronic Engineering Institute, Hefei, Anhui 230037, China
  • show less
    DOI: 10.3788/AOS201737.1128004 Cite this Article Set citation alerts
    Yunpeng Wang, Yihua Hu, Wuhu Lei, Liren Guo. Aircraft Target Classification Method Based on Texture Feature of Laser Echo Time-Frequency Image[J]. Acta Optica Sinica, 2017, 37(11): 1128004 Copy Citation Text show less
    References

    [1] Chen V C, Li F, Ho S S et al. Micro-Doppler effect in radar: phenomenon, model, and simulation study[J]. IEEE Transactions on Aerospace & Electronic Systems, 42, 2-21(2006). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=1603402

    [2] Du Lan, Li Linsen, Li Weilu et al. Aircraft arget classification based on correlation features from time-domain echoes[J]. Journal of Radars, 4, 621-629(2015).

    [3] Wang Baoshuai, Du Lan, Liu Hongwei et al. Aircraft classification based on empirical mode decomposition[J]. Journal of Electronics & Information Technology, 34, 2116-2121(2012).

    [4] Du Lan, Shi Huiruo, Li Linsen et al. Feature extraction method of narrow-band radar airplane signatures based on fractional Fourier transform[J]. Journal of Electronics & Information Technology, 38, 3093-3099(2016).

    [5] Karabayır O. Yüceda gˇ S M, Yüceda gˇ O M, et al. Micro-Doppler-based classification study on the detections of aerial targets and wind turbines [C]. Radar Symposium, 1-4(2016).

    [6] Jiang Weijian, Jiang Yue. A study on feature extraction of airplane targets based on cadence frequency diagram[J]. Modern Radar, 36, 29-34(2014).

    [7] Jiang Yue, Fan Juping, Guo Letian et al. Feature-extraction algorithm of airplane targets based on time-frequency diagram[J]. Modern Radar, 38, 38-41(2016).

    [8] Li Weilu. Research on classification of airplane targets based on JEM effect[D]. Xi’an: Xidian University, 5-8(2014).

    [9] Ahmad A A, Ahmad S A, Muhammad A L. Recent developments in the use of time-frequency analysis for radar-based applications[C]. Africon, 1-5(2015).

    [10] Chen Yongbin, Li Shaodong, Yang Jun et al. Rotor blades echo modeling and mechanism analysis of flashes phenomena[J]. Acta Physica Sinica, 65, 281-291(2016).

    [11] Guo Liren, Hu Yihua, Li Zheng et al. Research on infulence of acousto-optic frequency shifter to micro-Doppler effect detection[J]. Acta Optica Sinica, 35, 0212006(2015).

    [12] Mustafa M, Taib M N, Murat Z H et al. GLCM texture classification for EEG spectrogram image[C]. Biomedical Engineering and Sciences, 373-376(2010).

    [13] Wang Long. Study on image texture feature extraction and classification[D]. Qingdao: Ocean University of China, 21-22(2014).

    [14] Tamura H, Mori S, Yamawaki T. Textural features corresponding to visual perception[J]. IEEE Transactions on Systems Man & Cybernetics, 8, 460-473(1978). http://bioinformatics.oxfordjournals.org/external-ref?access_num=10.1109/TSMC.1978.4309999&link_type=DOI

    [15] Chen Suting, Hu Haifeng, Zhang Chuang. Surface roughness modeling based on laser speckle imaging[J]. Acta Physica Sinica, 64, 105-113(2015).

    [16] Tong S, Koller D. Support vector machine active learning with applications to text classification[J]. Journal of Machine Learning Research, 2, 45-66(2002). http://dl.acm.org/citation.cfm?id=944793

    CLP Journals

    [1] Shanxin Zhang, Qiang Fan, Zhiping Zhou. Object Shape Classification Based on Bayesian Optimized Neural Network[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061011

    [2] Jiang Mingxing, Hu Min, Wang Xiaohua, Ren Fuji, Wang Haowen. Dual-Modal Emotion Recognition Based on Facial Expression and Body Posture in Video Sequences[J]. Laser & Optoelectronics Progress, 2018, 55(7): 71004

    [3] Ying Chang, Shiling Wang. Gaussian Beam Shaping of Round Spot Based on Spheric-Aspheric Cylindrical Lens[J]. Laser & Optoelectronics Progress, 2018, 55(6): 060801

    Yunpeng Wang, Yihua Hu, Wuhu Lei, Liren Guo. Aircraft Target Classification Method Based on Texture Feature of Laser Echo Time-Frequency Image[J]. Acta Optica Sinica, 2017, 37(11): 1128004
    Download Citation