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

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

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DOI: 10.11728/cjss2024.03.2023-0067
Published: 2024
Container: Chinese Journal of Space Science
Publisher: National Space Science Center, Chinese Academy of Sciences
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11728/cjss2024.03.2023-0067,
  title = {Lightweight Automatic Detection Model for Lightning Whistle Waves Based on Improved YOLOv5},
  author = {Chao LU and Zhima ZEREN and Dehe YANG and Xiaoying SUN and Fangxian LÜ and Zilin RAN and Xuhui SHEN},
  year = {2024},
  journal = {Chinese Journal of Space Science},
  doi = {10.11728/cjss2024.03.2023-0067},
  url = {https://doi.org/10.11728/cjss2024.03.2023-0067}
}

RIS

TY  - JOUR
TI  - Lightweight Automatic Detection Model for Lightning Whistle Waves Based on Improved YOLOv5
AU  - Chao LU
AU  - Zhima ZEREN
AU  - Dehe YANG
AU  - Xiaoying SUN
AU  - Fangxian LÜ
AU  - Zilin RAN
AU  - Xuhui SHEN
PY  - 2024
JO  - Chinese Journal of Space Science
DO  - 10.11728/cjss2024.03.2023-0067
UR  - https://doi.org/10.11728/cjss2024.03.2023-0067
ER  -

APA

LU, C., ZEREN, Z., YANG, D., SUN, X., LÜ, F., RAN, Z., & SHEN, X. (2024). Lightweight Automatic Detection Model for Lightning Whistle Waves Based on Improved YOLOv5. Chinese Journal of Space Science. https://doi.org/10.11728/cjss2024.03.2023-0067

Source records

crossref · retrieved 2026-09-27T15:30:17.673Z