Lightweight Automatic Detection Model for Lightning Whistle Waves Based on Improved YOLOv5

Author:

LU Chao,ZEREN Zhima,YANG Dehe,SUN Xiaoying,LÜ Fangxian,RAN Zilin,SHEN Xuhui

Publisher

National Space Science Center, Chinese Academy of Sciences

Reference23 articles.

1. SANTOLÍK O, PARROT M, INAN U S, et al. Propagation of unducted whistlers from their source lightning: A case study[J]. Journal of Geophysical Research: Space Physics, 2009, 114(A3): A03212

2. YUAN Jing, WANG Qiao, ZHANG Xuemin, et al. Advances in the automatic detection algorithms for lightning whistlers recorded by electromagnetic satellite data[J]. Chinese Journal of Geophysics, 2021, 64(5): 1471-1495
袁静, 王桥, 张学民, 等. 基于电磁卫星的闪电哨声波智能检测算法的研究进展[J]. 地球物理学报, 2021, 64(5): 1471-1495

3. BAYUPATI I P A, KASAHARA Y, GOTO Y. Study of dispersion of lightning whistlers observed by akebono satellite in the Earth’s plasmasphere[J]. IEICE Transactions on Communications, 2012, E95.B(11): 3472-3479

4. PARROT M, BENOIST D, BERTHELIER J J, et al. The magnetic field experiment IMSC and its data processing onboard DEMETER: Scientific objectives, description and first results[J]. Planetary and Space Science, 2006, 54(5): 441-455

5. ZEREN Zhima, LIU Dapeng, SUN Xiaoying, et al. Current status and scientific progress of the Zhangheng-1 satellite mission[J]. Reviews of Geophysics and Planetary Physics, 2023, 54(4): 455-465
泽仁志玛, 刘大鹏, 孙晓英, 等. 张衡一号电磁卫星在轨情况及主要的科学成果[J]. 地球与行星物理论评(中英文), 2023, 54(4): 455-465

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