[1] HUANG T J, TIAN Y H, LI J, et al. Salient region detection and segmentation for general object recognition and image understanding[J]. Science China Information Sciences, 2011, 54(12): 2461-2470. doi: 10.1007/s11432-011-4487-1
[2] ZHANG T, LI Q, ZHENG J F, et al. A study on low-level wind shear caused by microburst using lidar and other data[J]. Laser Technology, 2020, 44(5): 563-569 (in Chinese).
[3] INTERNATIONAL CIVIL AVIATION ORGANIZATION. Manual on low-level wind shear[M]. Montreal, Canada: ICAO Headquarters, 2005: 127.
[4] FUJITA T T, CARACENA F. An analysis of three weather-related aircraft accidents[J]. Bulletin of American Meteorological Society, 1977, 58(11): 1164-1181. doi: 10.1175/1520-0477(1977)058<1164:AAOTWR>2.0.CO;2
[5] WOODFIELD A A, WOODS J F. Worldwide experience of wind shear during 1981~1982[EB/OL]. (2012-04-24)[2012-12-20]. https://kns-cnki-net-s.nudtproxy.yitlink.com/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2012&filename=JGHW201212003&uniplatform=NZKPT&v=iXeUOKtQ33zymOZ6%25mmd2Frl6YHL6SCOvg%25mmd2BrNBO1TjIe15psob5o9AYmVkT3ZgFBgkPza.
[6] CHAN P W, HON K K, SHIN D K. Combined use of headwind ramps and gradients based on LiDAR data in the alerting of low-level windshear/turbulence[J]. Meteorologische Zeitschrift, 2011, 20(6): 661-670. doi: 10.1127/0941-2948/2011/0242
[7] SHUN C M, CHAN P W. Application of an infrared Doppler lidar in detection of wind shear[J]. Journal of Applied Meteorology and Climatology, 2008, 25(5): 637-655.
[8] CHAN P W. Application of LIDAR-based F-factor in windshear alerting[J]. Meteorologische Zeitschrift, 2012, 21(2): 193-204. doi: 10.1127/0941-2948/2012/0321
[9] HON K K, CHAN P W. Application of LiDAR-derived eddy dissipation rate profiles in low-level wind shear and turbulence alerts at Hong Kong International Airport[J]. Royal Meteorological Society, 2013, 21(1): 75-84.
[10] JIANG L H, YAN Y, XIONG X L, et al. Doppler LiDAR alerting algorithm of low-level wind shear based on ramps detection[J]. Infrared and Laser Engineering, 2016, 45(1): 0106001(in Chin-ese). doi: 10.3788/irla201645.0106001
[11] MA Y Zh, CHEN N, XIONG X L. Wind shear warning algorithm based on PCA and phase difference correction [J]. Systems Engineering and Electronics, 2019, 42(1): 52-60 (in Chinese).
[12] MALLAT S, HWANG W L. Singularity detection and processing with wavelets[J]. IEEE Transactions on Information Theory, 1992, 38(2): 617-643. doi: 10.1109/18.119727
[13] WANG Y, YIN X, XU W, et al. Fault line selection in cooperation with multi-mode grounding control for the floating nuclear power plant grid[J]. Protection and Control of Modern Power Systems, 2020, 16(5): 1-10.
[14] CVETKOVIC D, VBEYLI E D, COSIC I. Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study [J]. Digital Signal Processing, 2008, 18(5): 861-874. doi: 10.1016/j.dsp.2007.05.009
[15] CHABCHOU S, MANSOURI S, SALAH R B. Impedance cardiography signal denoising using discrete wavelet transform[J]. Australasian Physical and Engineering Sciences in Medicine, 2016, 39: 655-663. doi: 10.1007/s13246-016-0460-z
[16] GENTILE A, MESSINA A. On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in da-maged beams[J]. International Journal of Solids and Structures, 2003, 40(2): 295-315. doi: 10.1016/S0020-7683(02)00548-6
[17] MALLAT S, HWANG W L. Singularity detection and processing with wavelets[J]. IEEE Transactions on Information Theory, 1992, 38(2): 617-643. doi: 10.1109/18.119727
[18] FENG L T, ZHOU J, FAN Q, et al. Three-dimensional lidar for wind shera detection and early warning in civil aviation airport[J]. Acta Photonica Sinica, 2019, 48(5): 0512001 (in Chinese). doi: 10.3788/gzxb20194805.0512001