Mellin Transform-Based Correction Method for Linear Scale Inconsistency of Intrusion Events Identification in OFPS

Baocheng WANG; Dandan QU; Qing TIAN; Liping PANG

doi:10.1007/s13320-018-0486-9

[1] Z. Z. Qiu, T. Zheng, H. Q. Qu, and L. P. Pang, “A new method based on CFAR and DE for OFPS,” Photonic Sensors, 2016, 6(3): 261–267.

[2] W. Liang, L. L. Lu, and L. B. Zhang, “Coupling relations and early-warning for ‘equipment chain’ in long-distance pipeline,” Mechanical Systems and Signal Processing, 2013, 41(1–2): 335–347.

[3] F. K. Bi, C. Feng, H. Q. Qu, and T. Zheng, “Harmful intrusion detection algorithm of optical fiber pre-warning system based on correlation of orthogonal polarization signals,” Photonic Sensors, 2017, 7(3): 226–233.

[4] K. Liu, T. J. Chai, T. G. Liu, J. F. Jiang, Q. N. Chen, L. Pan, et al., “Multi-area optical perimeter security system with quick invasion judgement algorithm,” Journal of Optoelectronics Laser, 2015, 26(2): 288–294.

[5] L. J. Hang, C. F. He, B. Wu, D. S. Cai, and Y. R. Song, “Research on novel distributed optical fiber pipeline leakage detection technology and location method,” Acta Optica Sinica, 2008, 28(1): 123–127.

[6] C. H. Zhu, Y. Z. Qu, and J. P. Wang, “The vibration signal recognition of optical fiber perimeter based on time-frequency features,” Opto-Electronic Engineering, 2014, 41(1): 16–22.

[7] L. Wang, Y. B. Guo, T. G. Sun, J. Y. Huo, and L. Zhang, “Signal recognition of the optical fiber vibration sensor based on two-level feature extraction,” in Proceeding of IEEE 8th International Congress on Image and Signal, Shenyang, China, 2015, pp: 1484–1488.

[8] S. S. Mahmoud, Y. Visagathilagar, and J. Katsifolis, “Real-time distributed fiber optic sensor for security systems: performance, event classification and nuisance mitigation,” Photonic Sensors, 2012, 2(3): 225–236.

[9] Z. Y. Wang, Z. Q. Pan, Q. Ye, H. W. Cai, R. H. Qu, and Z. J. Fang, “Fast pattern recognition based on frequency spectrum analysis used for intrusion alarming in optic fiber fence,” Chinese Journal of Lasers, 2015, 42(4): 1–6.

[10] H. F. Li, X. D. Yin, J. Z. Liu, C. Z. Zhang, and Y. Chen, “Intrusion signal recognition basing on optical fiber Bragg grating vibration sensor,” Optical Communication Technology, 2012, 2: 12–14.

[11] H. J. Wu, S. K. Xiao, X. Y. Li, Z. N. Wang, J. W. Xu, and Y. J. Rao, “Separation and determination of the disturbing signals in phase-sensitive optical time domain reflectometry (Φ-OTDR),” Journal of Lightwave Technology, 2015, 33(15): 3156–3162.

[12] R. Sun and W. J. Zeng, “Secure and robust image hashing via compressive sensing,” Multedia Tools and Applications, 2014, 70(3): 1651–1665.

[13] B. Xiao, J. F. Ma, and J. T. Cui, “Combined blur, translation, scale and rotation invariant image recognition by Radon and pseudo-Fourier-Mellin transforms,” Patern Recogntion, 2012, 45(1): 314–321.

[14] X. C. Dai and Q. Xie, “Research on image matching algorithm based on Fourier-Mellin transform,” Infrared Technology, 2016, 38(10): 860–863.

[15] S. W. Zhang, S. C. Zhen, X. L. Zhao, and S. T. Zhao, “Recognition method of radar target using range profile,” Systems Engineering and Electronics, 2001, 23(11): 48–51.

[16] J. H. Cheng, G. Gao, W. X. Ding, X. S. Ku, and J. X. Sun, “An improved scheme for parameter estimation of G° distribution model in high-resolution SAR images,” Progress in Electromagnetics Research, 2013, 134: 23–46.

[17] J. Yang, T. K. Sarkar, and P. Antonik, “Applying the Fourier-modified Mellin transform (FMMT) to Doppler-istorted waveforms,” Digital Singal Processing, 2007, 17(6): 1030–1039.